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description Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:NSF | Integrating Human and Mac...NSF| Integrating Human and Machine Learning for Enabling Co-Adaptive Body-Machine InterfacesAuthors: Rizzoglio, Fabio; Giordano, Marco; Mussa-Ivaldi, Ferdinando A; Casadio, Maura;Rizzoglio, Fabio; Giordano, Marco; Mussa-Ivaldi, Ferdinando A; Casadio, Maura;Body machine interfaces (BoMIs) enable individuals with paralysis to achieve a greater measure of independence in daily activities by assisting the control of devices such as robotic manipulators. The first BoMIs relied on Principal Component Analysis (PCA) to extract a lower dimensional control space from information in voluntary movement signals. Despite its widespread use, PCA might not be suited for controlling devices with a large number of degrees of freedom, as because of PCs' orthonormality the variance explained by successive components drops sharply after the first.Here, we propose an alternative BoMI based on non-linear autoencoder (AE) networks that mapped arm kinematic signals into joint angles of a 4D virtual robotic manipulator. First, we performed a validation procedure that aimed at selecting an AE structure that would allow to distribute the input variance uniformly across the dimensions of the control space. Then, we assessed the users' proficiency practicing a 3D reaching task by operating the robot with the validated AE.All participants managed to acquire an adequate level of skill when operating the 4D robot. Moreover, they retained the performance across two non-consecutive days of training.While providing users with a fully continuous control of the robot, the entirely unsupervised nature of our approach makes it ideal for applications in a clinical context since it can be tailored to each user's residual movements.We consider these findings as supporting a future implementation of our interface as an assistive tool for people with motor impairments.
IEEE Transactions on... arrow_drop_down IEEE Transactions on Biomedical EngineeringArticle . 2023 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tbme.2023.3237081&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert IEEE Transactions on... arrow_drop_down IEEE Transactions on Biomedical EngineeringArticle . 2023 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tbme.2023.3237081&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:Elsevier BV Funded by:NSF | Collaborative Research: C...NSF| Collaborative Research: Control of Information Processing and Learning in Neuronal Networks through Light-mediated Programming of Genomic NetworksAuthors: Vizziello A.; Magarini M.; Savazzi P.; Galluccio L.;Vizziello A.; Magarini M.; Savazzi P.; Galluccio L.;handle: 11311/1261046
The Internet of Medical Things (IoMT) paradigm will enable next generation healthcare by enhancing human abilities, supporting continuous body monitoring and restoring lost physiological functions due to serious impairments. This paper presents intra-body communication solutions that interconnect implantable devices for application to the nervous system, challenging the specific features of the complex intra-body scenario. The presented approaches include both speculative and implementative methods, ranging from neural signal transmission to testbeds, to be applied to specific neural diseases therapies. Also future directions in this research area are considered to overcome the existing technical challenges mainly associated with miniaturization, power supply, and multi-scale communications. https://www.sciencedirect.com/science/article/pii/S1389128623001639
Computer Networks arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.comnet.2023.109718&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Computer Networks arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.comnet.2023.109718&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Switzerland, Netherlands, ItalyPublisher:IOP Publishing Funded by:NSF | CNH-S: What Does It Take ..., EC | NEWAVENSF| CNH-S: What Does It Take to Cooperate Over Transboundary Groundwater Resources? ,EC| NEWAVEAuthors: Davis, Kyle Frankel; Müller, Marc F; Rulli, Maria Cristina; Tatlhego, Mokganedi; +7 AuthorsDavis, Kyle Frankel; Müller, Marc F; Rulli, Maria Cristina; Tatlhego, Mokganedi; Ali, Saleem; Baggio, Jacopo A; Dell’Angelo, Jampel; Jung, Suhyun; Kehoe, Laura; Niles, Meredith T; Eckert, Sandra;Abstract Agricultural large-scale land acquisitions have been linked with enhanced deforestation and land use change. Yet the extent to which transnational agricultural large-scale land acquisitions (TALSLAs) contribute to—or merely correlate with—deforestation, and the expected biodiversity impacts of the intended land use changes across ecosystems, remains unclear. We examine 178 georeferenced TALSLA locations in 40 countries to address this gap. While forest cover within TALSLAs decreased by 17% between 2000 and 2018 and became more fragmented, the spatio-temporal patterns of deforestation varied substantially across regions. While deforestation rates within initially forested TALSLAs were 1.5 (Asia) to 2 times (Africa) higher than immediately surrounding areas, we detected no such difference in Europe and Latin America. Our findings suggest that, whereas TALSLAs may have accelerated forest loss in Asia, a different mechanism might emerge in Africa where TALSLAs target areas already experiencing elevated deforestation. Regarding biodiversity (here focused on vertebrate species), we find that nearly all (91%) studied deals will likely experience substantial losses in relative species richness (−14.1% on average within each deal)—with mixed outcomes for relative abundance—due to the intended land use transitions. We also find that 39% of TALSLAs fall at least partially within biodiversity hotspots, placing these areas at heightened risk of biodiversity loss. Taken together, these findings suggest distinct regional differences in the nature of the association between TALSLAs and forest loss and provide new evidence of TALSLAs as an emerging threat to biodiversity in the Global South.
RE.PUBLIC@POLIMI Res... arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/acb2de&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/acb2de&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2022Publisher:IEEE Funded by:NSF | Graduate Research Fellows..., NSF | RI: Small: A Novel Framew...NSF| Graduate Research Fellowship Program(GRFP) ,NSF| RI: Small: A Novel Framework for Informed Manipulation PlanningChamzas, Constantinos; Lippi, Martina; Welle, Michael C.; Varava, Anastasia; Kavraki, Lydia E.; Kragic, Danica;—Learning state representations enables robotic planning directly from raw observations such as images. Most methods learn state representations by utilizing losses based on the reconstruction of the raw observations from a lower dimensional latent space. The similarity between observations in the space of images is often assumed and used as a proxy for estimating similarity between the underlying states of the system. However, observations commonly contain task-irrelevant factors of variation which are nonetheless important for reconstruction, such as varying lighting and different camera viewpoints. In this work, we define relevant evaluation metrics and perform a thorough study of different loss functions for state representation learning. We show that models exploiting task priors, such as Siamese networks with a simple contrastive loss, outperform reconstruction-based representations in visual task planning. QC 20211109
Digitala Vetenskapli... arrow_drop_down Digitala Vetenskapliga Arkivet - Academic Archive On-lineOther literature type . PreprintarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1109/iros47...Conference object . 2022 . Peer-reviewedLicense: STM Policy #29Data sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iros47612.2022.9981533&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Digitala Vetenskapli... arrow_drop_down Digitala Vetenskapliga Arkivet - Academic Archive On-lineOther literature type . PreprintarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1109/iros47...Conference object . 2022 . Peer-reviewedLicense: STM Policy #29Data sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iros47612.2022.9981533&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, Italy, Italy, SwitzerlandPublisher:IOP Publishing Funded by:EC | SHERO, EC | SoftGrip, EC | SMART +3 projectsEC| SHERO ,EC| SoftGrip ,EC| SMART ,NSF| EFRI C3 SoRo: Soft, Strong, and Safe Configurable Robots for Diverse Manipulation Tasks ,EC| GrowBot ,NSF| Graduate Research Fellowship Program (GRFP)Barbara Mazzolai; Alessio Mondini; Emanuela Del Dottore; Laura Margheri; Federico Carpi; Koichi Suzumori; Matteo Cianchetti; Thomas Speck; Stoyan K Smoukov; Ingo Burgert; Tobias Keplinger; Gilberto De Freitas Siqueira; Felix Vanneste; Olivier Goury; Christian Duriez; Thrishantha Nanayakkara; Bram Vanderborght; Joost Brancart; Seppe Terryn; Steven I Rich; Ruiyuan Liu; Kenjiro Fukuda; Takao Someya; Marcello Calisti; Cecilia Laschi; Wenguang Sun; Gang Wang; Li Wen; Robert Baines; Sree Kalyan Patiballa; Rebecca Kramer-Bottiglio; Daniela Rus; Peer Fischer; Friedrich C Simmel; Andreas Lendlein;Soft robotics aims at creating systems with improved performance of movement and adaptability in unknown, challenging, environments and with higher level of safety during interactions with humans. This Roadmap on Soft Robotics covers selected aspects for the design of soft robots significantly linked to the area of multifunctional materials, as these are considered a fundamental component in the design of soft robots for an improvement of their peculiar abilities, such as morphing, adaptivity and growth. The roadmap includes different approaches for components and systems design, bioinspired materials, methodologies for building soft robots, strategies for the implementation and control of their functionalities and behavior, and examples of soft-bodied systems showing abilities across different environments. For each covered topic, the author(s) describe the current status and research directions, current and future challenges, and perspective advances in science and technology to meet the challenges. Multifunctional Materials, 5 (3) ISSN:2399-7532
Flore (Florence Rese... arrow_drop_down Flore (Florence Research Repository); Archivio della ricerca della Scuola Superiore Sant'Anna; Multifunctional MaterialsArticle . 2022 . Peer-reviewedLicense: CC BYUniversity of Lincoln Institutional RepositoryArticle . 2022Data sources: University of Lincoln Institutional RepositoryFlore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Archivio della ricerca della Scuola Superiore Sant'AnnaArticle . 2022Data sources: Archivio della ricerca della Scuola Superiore Sant'Annaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/2399-7532/ac4c95&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 35 citations 35 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 18visibility views 18 download downloads 58 Powered bymore_vert Flore (Florence Rese... arrow_drop_down Flore (Florence Research Repository); Archivio della ricerca della Scuola Superiore Sant'Anna; Multifunctional MaterialsArticle . 2022 . Peer-reviewedLicense: CC BYUniversity of Lincoln Institutional RepositoryArticle . 2022Data sources: University of Lincoln Institutional RepositoryFlore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Archivio della ricerca della Scuola Superiore Sant'AnnaArticle . 2022Data sources: Archivio della ricerca della Scuola Superiore Sant'Annaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/2399-7532/ac4c95&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2022 United StatesPublisher:American Meteorological Society Funded by:NSF | Changes in Impacts-releva...NSF| Changes in Impacts-relevant Climate in the World’s Mediterranean Climate Regions: A Mechanisms-based Investigation of Atmosphere-Ocean-Land Processes Across SeasonsAuthors: Jacobson, Tess WP; Seager, Richard; Williams, A Park; Henderson, Naomi;Jacobson, Tess WP; Seager, Richard; Williams, A Park; Henderson, Naomi;Abstract Recent record-breaking wildfire seasons in California prompt an investigation into the climate patterns that typically precede anomalous summer burned forest area. Using burned-area data from the U.S. Forest Service’s Monitoring Trends in Burn Severity (MTBS) product and climate data from the fifth major global reanalysis produced by the European Centre for Medium-Range Weather Forecasts (ERA5) over 1984–2018, relationships between the interannual variability of antecedent climate anomalies and July California burned area are spatially and temporally characterized. Lag correlations show that antecedent high vapor pressure deficit (VPD), high temperatures, frequent extreme high temperature days, low precipitation, high subsidence, high geopotential height, low soil moisture, and low snowpack and snowmelt anomalies all correlate significantly with July California burned area as far back as the January before the fire season. Seasonal regression maps indicate that a global midlatitude atmospheric wave train in late winter is associated with anomalous July California burned area. July 2018, a year with especially high burned area, was to some extent consistent with the general patterns revealed by the regressions: low winter precipitation and high spring VPD preceded the extreme burned area. However, geopotential height anomaly patterns were distinct from those in the regressions. Extreme July heat likely contributed to the extent of the fires ignited that month, even though extreme July temperatures do not historically significantly correlate with July burned area. While the 2018 antecedent climate conditions were typical of a high-burned-area year, they were not extreme, demonstrating the likely limits of statistical prediction of extreme fire seasons and the need for individual case studies of extreme years. Significance Statement The purpose of this study is to identify the local and global climate patterns in the preceding seasons that influence how the burned summer forest area in California varies year-to-year. We find that a dry atmosphere, high temperatures, dry soils, less snowpack, low precipitation, subsiding air, and high pressure centered west of California all correlate significantly with large summer burned area as far back as the preceding January. These climate anomalies occur as part of a hemispheric scale pattern with weak connections to the tropical Pacific Ocean. We also describe the climate anomalies preceding the extreme and record-breaking burned-area year of 2018, and how these compared with the more general patterns found. These results give important insight into how well and how early it might be possible to predict the severity of an upcoming summer wildfire season in California.
eScholarship - Unive... arrow_drop_down eScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1175/jamc-d-21-0198.1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert eScholarship - Unive... arrow_drop_down eScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1175/jamc-d-21-0198.1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, United Kingdom, Netherlands, United Kingdom, Italy, United Kingdom, Russian FederationPublisher:Wiley Funded by:ANR | TULIP, UKRI | Do past fires explain cur..., NSF | Collaborative Research: P... +2 projectsANR| TULIP ,UKRI| Do past fires explain current carbon dynamics of Amazonian forests? ,NSF| Collaborative Research: Planning And Land Management in Tropical Ecosystem; Complexities of land-use and hydrology coupling in the Panama Canal Watershed ,NSF| Collaborative Research: Predicting ecosystem resilience to climate and disturbance events with a multi-scale hydraulic trait framework ,UKRI| Forecasting the impacts of drought on human-modified tropical forests by integrating models with dataJucker, Tommaso; Fischer, Fabian Jörg; Chave, Jérôme; Coomes, David; Caspersen, John; Ali, Arshad; Panzou, Grace Jopaul Loubota; Feldpausch, Ted R; Falster, Daniel; Usoltsev, Vladimir A; Adu-Bredu, Stephen; Alves, Luciana F; Aminpour, Mohammad; Angoboy, Ilondea B; Anten, Niels PR; Antin, Cécile; Askari, Yousef; Avilés, Rodrigo Muñoz; Ayyappan, Narayanan; Balvanera, Patricia; Banin, Lindsay; Barbier, Nicolas; Battles, John J; Beeckman, Hans; Bocko, Yannick E; Bond-Lamberty, Ben; Bongers, Frans; Bowers, Samuel; Brade, Thomas; Van Breugel, Michiel; Chantrain, Arthur; Chaudhary, Rajeev; Dai, Jingyu; Dalponte, Michele; Dimobe, Kangbéni; Domec, Jean-Christophe; Doucet, Jean-Louis; Duursma, Remko A; Enríquez, Moisés; Van Ewijk, Karin Y; Farfán-Rios, William; Fayolle, Adeline; Forni, Eric; Forrester, David I; Gilani, Hammad; Godlee, John L; Gourlet-Fleury, Sylvie; Haeni, Matthias; Hall, Jefferson S; He, Jie-Kun; Hemp, Andreas; Hernández-Stefanoni, José L; Higgins, Steven I; Holdaway, Robert J; Hussain, Kiramat; Hutley, Lindsay B; Ichie, Tomoaki; Iida, Yoshiko; Jiang, Hai-Sheng; Joshi, Puspa Raj; Kaboli, Hasan; Larsary, Maryam Kazempour; Kenzo, Tanaka; Kloeppel, Brian D; Kohyama, Takashi; Kunwar, Suwash; Kuyah, Shem; Kvasnica, Jakub; Lin, Siliang; Lines, Emily; Liu, Hongyan; Lorimer, Craig; Loumeto, Jean-Joël; Malhi, Yadvinder; Marshall, Peter L; Mattsson, Eskil; Matula, Radim; Meave, Jorge A; Mensah, Sylvanus; Mi, Xiangcheng; Momo, Stéphane; Moncrieff, Glenn R; Mora, Francisco; Nissanka, Sarath P; O'Hara, Kevin L; Pearce, Steven; Pelissier, Raphaël; Peri, Pablo L; Ploton, Pierre; Poorter, Lourens; Pour, Mohsen Javanmiri; Pourbabaei, Hassan; Rada, Juan Manuel Dupuy; Ribeiro, Sabina C; Ryan, Casey; Sanaei, Anvar; Sanger, Jennifer; Schlund, Michael; Sellan, Giacomo; Shenkin, Alexander; Sonké, Bonaventure; Sterck, Frank J; Svátek, Martin; Takagi, Kentaro; Trugman, Anna T; Ullah, Farman; Vadeboncoeur, Matthew A; Valipour, Ahmad; Vanderwel, Mark C; Vovides, Alejandra G; Wang, Weiwei; Wang, Li-Qiu; Wirth, Christian; Woods, Murray; Xiang, Wenhua; De Aquino Ximenes, Fabiano; Xu, Yaozhan; Yamada, Toshihiro; Zavala, Miguel A;pmid: 35703577
pmc: PMC9542605
Data capturing multiple axes of tree size and shape, such as a tree's stem diameter, height and crown size, underpin a wide range of ecological research-from developing and testing theory on forest structure and dynamics, to estimating forest carbon stocks and their uncertainties, and integrating remote sensing imagery into forest monitoring programmes. However, these data can be surprisingly hard to come by, particularly for certain regions of the world and for specific taxonomic groups, posing a real barrier to progress in these fields. To overcome this challenge, we developed the Tallo database, a collection of 498,838 georeferenced and taxonomically standardized records of individual trees for which stem diameter, height and/or crown radius have been measured. These data were collected at 61,856 globally distributed sites, spanning all major forested and non-forested biomes. The majority of trees in the database are identified to species (88%), and collectively Tallo includes data for 5163 species distributed across 1453 genera and 187 plant families. The database is publicly archived under a CC-BY 4.0 licence and can be access from: https://doi.org/10.5281/zenodo.6637599. To demonstrate its value, here we present three case studies that highlight how the Tallo database can be used to address a range of theoretical and applied questions in ecology-from testing the predictions of metabolic scaling theory, to exploring the limits of tree allometric plasticity along environmental gradients and modelling global variation in maximum attainable tree height. In doing so, we provide a key resource for field ecologists, remote sensing researchers and the modelling community working together to better understand the role that trees play in regulating the terrestrial carbon cycle. Funder: U.S. Department of Energy; Id: http://dx.doi.org/10.13039/100000015 Funder: CAPES; Id: http://dx.doi.org/10.13039/501100002322 Funder: Agua Salud Project
CORE (RIOXX-UK Aggre... arrow_drop_down Global Change Biology; Research@WUR; Archivio istituzionale della ricerca - Fondazione Edmund Mach; NERC Open Research ArchiveArticle . 2022 . Peer-reviewedLicense: CC BYGlobal Change BiologyArticle . 2022Full-Text: https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2022/isi/schlund_tal.pdfData sources: NARCISadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.16302&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 59visibility views 59 download downloads 59 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Global Change Biology; Research@WUR; Archivio istituzionale della ricerca - Fondazione Edmund Mach; NERC Open Research ArchiveArticle . 2022 . Peer-reviewedLicense: CC BYGlobal Change BiologyArticle . 2022Full-Text: https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2022/isi/schlund_tal.pdfData sources: NARCISadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Denmark, United Kingdom, United Kingdom, Italy, Italy, Switzerland, FrancePublisher:IOP Publishing Funded by:EC | HBP, EC | ANDANTE, EC | MNEMOSENE +19 projectsEC| HBP ,EC| ANDANTE ,EC| MNEMOSENE ,UKRI| A scalable chip multiprocessor for large-scale neural simulation ,EC| TEMPO ,NSF| CRI: CI-NEW: Trainable Reconfigurable Development Platform for Large-Scale Neuromorphic Cognitive Computing ,EC| BioWings ,EC| HBP SGA3 ,UKRI| EPSRC Fellowships in Manufacturing: Additive nanomanufacturing via probe-based pick-and-place nanoparticle assembly ,EC| PROJESTOR ,EC| PINQS ,EC| StorAIge ,UKRI| Biologically-Inspired Massively Parallel Architectures - computing beyond a million processors ,EC| MANIC ,EC| MeM-Scales ,UKRI| Manufacturing and Application of Next Generation Chalcogenides ,EC| SpinAge ,UKRI| Wearable and flexible technologies enabled by advanced thin-film manufacture and metrology ,EC| HERMES ,EC| NEUROTECH ,EC| NeurONN ,EC| NeuroAgentsAuthors: Christensen, Dennis V.; Dittmann, Regina; Linares-Barranco, Bernabé; Sebastian, Abu; +63 AuthorsChristensen, Dennis V.; Dittmann, Regina; Linares-Barranco, Bernabé; Sebastian, Abu; Gallo, Manuel Le; Redaelli, Andrea; Slesazeck, Stefan; Mikolajick, Thomas; Spiga, Sabina; Menzel, Stephan; Valov, Ilia; Milano, Gianluca; Ricciardi, Carlo; Liang, Shi-Jun; Miao, Feng; Lanza, Mario; Quill, Tyler J.; Keene, Scott T.; Salleo, Alberto; Grollier, Julie; Marković, Danijela; Mizrahi, Alice; Yao, Peng; Yang, J. Joshua; Indiveri, Giacomo; Strachan, John Paul; Datta, Suman; Vianello, Elisa; Valentian, Alexandre; Feldmann, Johannes; Li, Xuan; Pernice, Wolfram H. P.; Bhaskaran, Harish; Furber, Steve; Neftci, Emre; Scherr, Franz; Maass, Wolfgang; Ramaswamy, Srikanth; Tapson, Jonathan; Panda, Priyadarshini; Kim, Youngeun; Tanaka, Gouhei; Thorpe, Simon; Bartolozzi, Chiara; Cleland, Thomas A.; Posch, Christoph; Liu, Shih-Chii; Panuccio, Gabriella; Mahmud, Mufti; Mazumder, Arnab Neelim; Hosseini, Morteza; Mohsenin, Tinoosh; Donati, Elisa; Tolu, Silvia; Galeazzi, Roberto; Christensen, Martin Ejsing; Holm, Sune; Ielmini, Daniele; Pryds, N.; Christensen, Dennis; Le Gallo, Manuel; Quill, Tyler; Keene, Scott; Yang, J Joshua; Pernice, Wolfram; Cleland, Thomas; Liu, Shihchii;Abstract Modern computation based on von Neumann architecture is now a mature cutting-edge science. In the von Neumann architecture, processing and memory units are implemented as separate blocks interchanging data intensively and continuously. This data transfer is responsible for a large part of the power consumption. The next generation computer technology is expected to solve problems at the exascale with 1018 calculations each second. Even though these future computers will be incredibly powerful, if they are based on von Neumann type architectures, they will consume between 20 and 30 megawatts of power and will not have intrinsic physically built-in capabilities to learn or deal with complex data as our brain does. These needs can be addressed by neuromorphic computing systems which are inspired by the biological concepts of the human brain. This new generation of computers has the potential to be used for the storage and processing of large amounts of digital information with much lower power consumption than conventional processors. Among their potential future applications, an important niche is moving the control from data centers to edge devices. The aim of this roadmap is to present a snapshot of the present state of neuromorphic technology and provide an opinion on the challenges and opportunities that the future holds in the major areas of neuromorphic technology, namely materials, devices, neuromorphic circuits, neuromorphic algorithms, applications, and ethics. The roadmap is a collection of perspectives where leading researchers in the neuromorphic community provide their own view about the current state and the future challenges for each research area. We hope that this roadmap will be a useful resource by providing a concise yet comprehensive introduction to readers outside this field, for those who are just entering the field, as well as providing future perspectives for those who are well established in the neuromorphic computing community. Funder: National Institute on Deafness and Other Communication Disorders; doi: https://doi.org/10.13039/100000055 Funder: Collaborative Innovation Center of Advanced Microstructures; doi: https://doi.org/10.13039/501100016018 Funder: Centre National de la Recherche Scientifique; doi: https://doi.org/10.13039/501100004794 Funder: Bundesministerium für Bildung und Forschung; doi: https://doi.org/10.13039/501100002347 Funder: Defense Advanced Research Projects Agency; doi: https://doi.org/10.13039/100000185 Funder: Deutsche Forschungsgemeinschaft; doi: https://doi.org/10.13039/501100001659 Funder: ETH Zürich Foundation; doi: https://doi.org/10.13039/501100012652 Funder: Freistaat Sachsen; doi: https://doi.org/10.13039/501100014913
RE.PUBLIC@POLIMI Res... arrow_drop_down Copenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemInfoscience - EPFL scientific publicationsArticleData sources: Infoscience - EPFL scientific publicationsNeuromorphic Computing and EngineeringOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveOnline Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyThe University of Manchester - Institutional RepositoryArticle . 2022Data sources: The University of Manchester - Institutional RepositoryMémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03872100/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 207 citations 207 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!visibility 56visibility views 56 download downloads 164 Powered bymore_vert RE.PUBLIC@POLIMI Res... arrow_drop_down Copenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemInfoscience - EPFL scientific publicationsArticleData sources: Infoscience - EPFL scientific publicationsNeuromorphic Computing and EngineeringOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveOnline Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyThe University of Manchester - Institutional RepositoryArticle . 2022Data sources: The University of Manchester - Institutional RepositoryMémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03872100/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 ItalyPublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:NSF | NeTS: JUNO2: Collaborativ..., NSF | CPS: TTP Option: Synergy:..., NSF | SCC-IRG Track 2: Smart In... +1 projectsNSF| NeTS: JUNO2: Collaborative Research: STEAM: Secure and Trustworthy Framework for Integrated Energy and Mobility in Smart Connected Communities ,NSF| CPS: TTP Option: Synergy: Collaborative Research: Threat Assessment Tools for Management-Coupled Cyber- and Physical- Infrastructures ,NSF| SCC-IRG Track 2: Smart Integrated Farm Network for Rural Agricultural Communities (SIRAC) ,NSF| SPX: Collaborative Research: SANDY: Sparsification-based Approach for Analyzing Network DynamicsAuthors: Francesco Betti Sorbelli; Cristina M. Pinotti; Simone Silvestri; Sajal K. Das;Francesco Betti Sorbelli; Cristina M. Pinotti; Simone Silvestri; Sajal K. Das;handle: 11391/1478273
Localizing ground devices (GDs) is an important requirement for a wide variety of applications, such as infrastructure monitoring, precision agriculture, search and rescue operations, to name a few. To this end, unmanned aerial vehicles (UAVs) or drones offer a promising technology due to their flexibility. However, the distance measurements performed using a drone, an integral part of a localization procedure, incur several errors that affect the localization accuracy. In this paper, we provide analytical expressions for the impact of different kinds of measurement errors on the ground distance between the UAV and GDs. We review three range-based and three range-free localization algorithms, identify their source of errors, and analytically derive the error bounds resulting from aggregating multiple inaccurate measurements. We then extend the range-free algorithms for improved accuracy. We validate our theoretical analysis and compare the observed localization error of the algorithms after collecting data from a testbed using ten GDs and one drone, equipped with ultra wide band (UWB) antennas and operating in an open field. Results show that our analysis closely matches with experimental localization errors. Moreover, compared to their original counterparts, the extended range-free algorithms significantly improve the accuracy.
arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2020Data sources: arXiv.org e-Print ArchiveIEEE Transactions on Mobile ComputingArticle . 2022 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tmc.2020.3020584&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2020Data sources: arXiv.org e-Print ArchiveIEEE Transactions on Mobile ComputingArticle . 2022 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tmc.2020.3020584&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 ItalyPublisher:Springer Science and Business Media LLC Funded by:EC | MEMMO, NSF | W-HTF-RL: Collaborative R..., NSF | Risk-Aware Planning and C... +2 projectsEC| MEMMO ,NSF| W-HTF-RL: Collaborative Research: Improving the Future of Retail and Warehouse Workers with Upper Limb Disabilities via Perceptive and Adaptive Soft Wearable Robots ,NSF| Risk-Aware Planning and Control of Robot Motion Including Intermittent Physical Contact ,NSF| CPS: Medium: Accurate and Efficient Collective Additive Manufacturing by Mobile Robots ,NSF| NRI: FND: Action-perception loops over 5G millimeter wave wireless for cooperative manipulationHammoud B.; Olivieri L.; Righetti L.; Carpentier J.; Del Prete A.;handle: 11572/376888
IRIS - Institutional... arrow_drop_down Multibody System DynamicsOther literature type . Article . 2022 . Peer-reviewedLicense: Springer TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert IRIS - Institutional... arrow_drop_down Multibody System DynamicsOther literature type . Article . 2022 . Peer-reviewedLicense: Springer TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:NSF | Integrating Human and Mac...NSF| Integrating Human and Machine Learning for Enabling Co-Adaptive Body-Machine InterfacesAuthors: Rizzoglio, Fabio; Giordano, Marco; Mussa-Ivaldi, Ferdinando A; Casadio, Maura;Rizzoglio, Fabio; Giordano, Marco; Mussa-Ivaldi, Ferdinando A; Casadio, Maura;Body machine interfaces (BoMIs) enable individuals with paralysis to achieve a greater measure of independence in daily activities by assisting the control of devices such as robotic manipulators. The first BoMIs relied on Principal Component Analysis (PCA) to extract a lower dimensional control space from information in voluntary movement signals. Despite its widespread use, PCA might not be suited for controlling devices with a large number of degrees of freedom, as because of PCs' orthonormality the variance explained by successive components drops sharply after the first.Here, we propose an alternative BoMI based on non-linear autoencoder (AE) networks that mapped arm kinematic signals into joint angles of a 4D virtual robotic manipulator. First, we performed a validation procedure that aimed at selecting an AE structure that would allow to distribute the input variance uniformly across the dimensions of the control space. Then, we assessed the users' proficiency practicing a 3D reaching task by operating the robot with the validated AE.All participants managed to acquire an adequate level of skill when operating the 4D robot. Moreover, they retained the performance across two non-consecutive days of training.While providing users with a fully continuous control of the robot, the entirely unsupervised nature of our approach makes it ideal for applications in a clinical context since it can be tailored to each user's residual movements.We consider these findings as supporting a future implementation of our interface as an assistive tool for people with motor impairments.
IEEE Transactions on... arrow_drop_down IEEE Transactions on Biomedical EngineeringArticle . 2023 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert IEEE Transactions on... arrow_drop_down IEEE Transactions on Biomedical EngineeringArticle . 2023 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/tbme.2023.3237081&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:Elsevier BV Funded by:NSF | Collaborative Research: C...NSF| Collaborative Research: Control of Information Processing and Learning in Neuronal Networks through Light-mediated Programming of Genomic NetworksAuthors: Vizziello A.; Magarini M.; Savazzi P.; Galluccio L.;Vizziello A.; Magarini M.; Savazzi P.; Galluccio L.;handle: 11311/1261046
The Internet of Medical Things (IoMT) paradigm will enable next generation healthcare by enhancing human abilities, supporting continuous body monitoring and restoring lost physiological functions due to serious impairments. This paper presents intra-body communication solutions that interconnect implantable devices for application to the nervous system, challenging the specific features of the complex intra-body scenario. The presented approaches include both speculative and implementative methods, ranging from neural signal transmission to testbeds, to be applied to specific neural diseases therapies. Also future directions in this research area are considered to overcome the existing technical challenges mainly associated with miniaturization, power supply, and multi-scale communications. https://www.sciencedirect.com/science/article/pii/S1389128623001639
Computer Networks arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.comnet.2023.109718&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Computer Networks arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2023Data sources: arXiv.org e-Print Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.comnet.2023.109718&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Switzerland, Netherlands, ItalyPublisher:IOP Publishing Funded by:NSF | CNH-S: What Does It Take ..., EC | NEWAVENSF| CNH-S: What Does It Take to Cooperate Over Transboundary Groundwater Resources? ,EC| NEWAVEAuthors: Davis, Kyle Frankel; Müller, Marc F; Rulli, Maria Cristina; Tatlhego, Mokganedi; +7 AuthorsDavis, Kyle Frankel; Müller, Marc F; Rulli, Maria Cristina; Tatlhego, Mokganedi; Ali, Saleem; Baggio, Jacopo A; Dell’Angelo, Jampel; Jung, Suhyun; Kehoe, Laura; Niles, Meredith T; Eckert, Sandra;Abstract Agricultural large-scale land acquisitions have been linked with enhanced deforestation and land use change. Yet the extent to which transnational agricultural large-scale land acquisitions (TALSLAs) contribute to—or merely correlate with—deforestation, and the expected biodiversity impacts of the intended land use changes across ecosystems, remains unclear. We examine 178 georeferenced TALSLA locations in 40 countries to address this gap. While forest cover within TALSLAs decreased by 17% between 2000 and 2018 and became more fragmented, the spatio-temporal patterns of deforestation varied substantially across regions. While deforestation rates within initially forested TALSLAs were 1.5 (Asia) to 2 times (Africa) higher than immediately surrounding areas, we detected no such difference in Europe and Latin America. Our findings suggest that, whereas TALSLAs may have accelerated forest loss in Asia, a different mechanism might emerge in Africa where TALSLAs target areas already experiencing elevated deforestation. Regarding biodiversity (here focused on vertebrate species), we find that nearly all (91%) studied deals will likely experience substantial losses in relative species richness (−14.1% on average within each deal)—with mixed outcomes for relative abundance—due to the intended land use transitions. We also find that 39% of TALSLAs fall at least partially within biodiversity hotspots, placing these areas at heightened risk of biodiversity loss. Taken together, these findings suggest distinct regional differences in the nature of the association between TALSLAs and forest loss and provide new evidence of TALSLAs as an emerging threat to biodiversity in the Global South.
RE.PUBLIC@POLIMI Res... arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert RE.PUBLIC@POLIMI Res... arrow_drop_down Bern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/acb2de&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2022Publisher:IEEE Funded by:NSF | Graduate Research Fellows..., NSF | RI: Small: A Novel Framew...NSF| Graduate Research Fellowship Program(GRFP) ,NSF| RI: Small: A Novel Framework for Informed Manipulation PlanningChamzas, Constantinos; Lippi, Martina; Welle, Michael C.; Varava, Anastasia; Kavraki, Lydia E.; Kragic, Danica;—Learning state representations enables robotic planning directly from raw observations such as images. Most methods learn state representations by utilizing losses based on the reconstruction of the raw observations from a lower dimensional latent space. The similarity between observations in the space of images is often assumed and used as a proxy for estimating similarity between the underlying states of the system. However, observations commonly contain task-irrelevant factors of variation which are nonetheless important for reconstruction, such as varying lighting and different camera viewpoints. In this work, we define relevant evaluation metrics and perform a thorough study of different loss functions for state representation learning. We show that models exploiting task priors, such as Siamese networks with a simple contrastive loss, outperform reconstruction-based representations in visual task planning. QC 20211109
Digitala Vetenskapli... arrow_drop_down Digitala Vetenskapliga Arkivet - Academic Archive On-lineOther literature type . PreprintarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1109/iros47...Conference object . 2022 . Peer-reviewedLicense: STM Policy #29Data sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/iros47612.2022.9981533&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Digitala Vetenskapli... arrow_drop_down Digitala Vetenskapliga Arkivet - Academic Archive On-lineOther literature type . PreprintarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print Archivehttps://doi.org/10.1109/iros47...Conference object . 2022 . Peer-reviewedLicense: STM Policy #29Data sources: Crossrefhttps://doi.org/10.48550/arxiv...Article . 2021License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, Italy, Italy, SwitzerlandPublisher:IOP Publishing Funded by:EC | SHERO, EC | SoftGrip, EC | SMART +3 projectsEC| SHERO ,EC| SoftGrip ,EC| SMART ,NSF| EFRI C3 SoRo: Soft, Strong, and Safe Configurable Robots for Diverse Manipulation Tasks ,EC| GrowBot ,NSF| Graduate Research Fellowship Program (GRFP)Barbara Mazzolai; Alessio Mondini; Emanuela Del Dottore; Laura Margheri; Federico Carpi; Koichi Suzumori; Matteo Cianchetti; Thomas Speck; Stoyan K Smoukov; Ingo Burgert; Tobias Keplinger; Gilberto De Freitas Siqueira; Felix Vanneste; Olivier Goury; Christian Duriez; Thrishantha Nanayakkara; Bram Vanderborght; Joost Brancart; Seppe Terryn; Steven I Rich; Ruiyuan Liu; Kenjiro Fukuda; Takao Someya; Marcello Calisti; Cecilia Laschi; Wenguang Sun; Gang Wang; Li Wen; Robert Baines; Sree Kalyan Patiballa; Rebecca Kramer-Bottiglio; Daniela Rus; Peer Fischer; Friedrich C Simmel; Andreas Lendlein;Soft robotics aims at creating systems with improved performance of movement and adaptability in unknown, challenging, environments and with higher level of safety during interactions with humans. This Roadmap on Soft Robotics covers selected aspects for the design of soft robots significantly linked to the area of multifunctional materials, as these are considered a fundamental component in the design of soft robots for an improvement of their peculiar abilities, such as morphing, adaptivity and growth. The roadmap includes different approaches for components and systems design, bioinspired materials, methodologies for building soft robots, strategies for the implementation and control of their functionalities and behavior, and examples of soft-bodied systems showing abilities across different environments. For each covered topic, the author(s) describe the current status and research directions, current and future challenges, and perspective advances in science and technology to meet the challenges. Multifunctional Materials, 5 (3) ISSN:2399-7532
Flore (Florence Rese... arrow_drop_down Flore (Florence Research Repository); Archivio della ricerca della Scuola Superiore Sant'Anna; Multifunctional MaterialsArticle . 2022 . Peer-reviewedLicense: CC BYUniversity of Lincoln Institutional RepositoryArticle . 2022Data sources: University of Lincoln Institutional RepositoryFlore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Archivio della ricerca della Scuola Superiore Sant'AnnaArticle . 2022Data sources: Archivio della ricerca della Scuola Superiore Sant'Annaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/2399-7532/ac4c95&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 35 citations 35 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 18visibility views 18 download downloads 58 Powered bymore_vert Flore (Florence Rese... arrow_drop_down Flore (Florence Research Repository); Archivio della ricerca della Scuola Superiore Sant'Anna; Multifunctional MaterialsArticle . 2022 . Peer-reviewedLicense: CC BYUniversity of Lincoln Institutional RepositoryArticle . 2022Data sources: University of Lincoln Institutional RepositoryFlore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Archivio della ricerca della Scuola Superiore Sant'AnnaArticle . 2022Data sources: Archivio della ricerca della Scuola Superiore Sant'Annaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2022 United StatesPublisher:American Meteorological Society Funded by:NSF | Changes in Impacts-releva...NSF| Changes in Impacts-relevant Climate in the World’s Mediterranean Climate Regions: A Mechanisms-based Investigation of Atmosphere-Ocean-Land Processes Across SeasonsAuthors: Jacobson, Tess WP; Seager, Richard; Williams, A Park; Henderson, Naomi;Jacobson, Tess WP; Seager, Richard; Williams, A Park; Henderson, Naomi;Abstract Recent record-breaking wildfire seasons in California prompt an investigation into the climate patterns that typically precede anomalous summer burned forest area. Using burned-area data from the U.S. Forest Service’s Monitoring Trends in Burn Severity (MTBS) product and climate data from the fifth major global reanalysis produced by the European Centre for Medium-Range Weather Forecasts (ERA5) over 1984–2018, relationships between the interannual variability of antecedent climate anomalies and July California burned area are spatially and temporally characterized. Lag correlations show that antecedent high vapor pressure deficit (VPD), high temperatures, frequent extreme high temperature days, low precipitation, high subsidence, high geopotential height, low soil moisture, and low snowpack and snowmelt anomalies all correlate significantly with July California burned area as far back as the January before the fire season. Seasonal regression maps indicate that a global midlatitude atmospheric wave train in late winter is associated with anomalous July California burned area. July 2018, a year with especially high burned area, was to some extent consistent with the general patterns revealed by the regressions: low winter precipitation and high spring VPD preceded the extreme burned area. However, geopotential height anomaly patterns were distinct from those in the regressions. Extreme July heat likely contributed to the extent of the fires ignited that month, even though extreme July temperatures do not historically significantly correlate with July burned area. While the 2018 antecedent climate conditions were typical of a high-burned-area year, they were not extreme, demonstrating the likely limits of statistical prediction of extreme fire seasons and the need for individual case studies of extreme years. Significance Statement The purpose of this study is to identify the local and global climate patterns in the preceding seasons that influence how the burned summer forest area in California varies year-to-year. We find that a dry atmosphere, high temperatures, dry soils, less snowpack, low precipitation, subsiding air, and high pressure centered west of California all correlate significantly with large summer burned area as far back as the preceding January. These climate anomalies occur as part of a hemispheric scale pattern with weak connections to the tropical Pacific Ocean. We also describe the climate anomalies preceding the extreme and record-breaking burned-area year of 2018, and how these compared with the more general patterns found. These results give important insight into how well and how early it might be possible to predict the severity of an upcoming summer wildfire season in California.
eScholarship - Unive... arrow_drop_down eScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert eScholarship - Unive... arrow_drop_down eScholarship - University of CaliforniaArticle . 2022Data sources: eScholarship - University of Californiaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1175/jamc-d-21-0198.1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, United Kingdom, Netherlands, United Kingdom, Italy, United Kingdom, Russian FederationPublisher:Wiley Funded by:ANR | TULIP, UKRI | Do past fires explain cur..., NSF | Collaborative Research: P... +2 projectsANR| TULIP ,UKRI| Do past fires explain current carbon dynamics of Amazonian forests? ,NSF| Collaborative Research: Planning And Land Management in Tropical Ecosystem; Complexities of land-use and hydrology coupling in the Panama Canal Watershed ,NSF| Collaborative Research: Predicting ecosystem resilience to climate and disturbance events with a multi-scale hydraulic trait framework ,UKRI| Forecasting the impacts of drought on human-modified tropical forests by integrating models with dataJucker, Tommaso; Fischer, Fabian Jörg; Chave, Jérôme; Coomes, David; Caspersen, John; Ali, Arshad; Panzou, Grace Jopaul Loubota; Feldpausch, Ted R; Falster, Daniel; Usoltsev, Vladimir A; Adu-Bredu, Stephen; Alves, Luciana F; Aminpour, Mohammad; Angoboy, Ilondea B; Anten, Niels PR; Antin, Cécile; Askari, Yousef; Avilés, Rodrigo Muñoz; Ayyappan, Narayanan; Balvanera, Patricia; Banin, Lindsay; Barbier, Nicolas; Battles, John J; Beeckman, Hans; Bocko, Yannick E; Bond-Lamberty, Ben; Bongers, Frans; Bowers, Samuel; Brade, Thomas; Van Breugel, Michiel; Chantrain, Arthur; Chaudhary, Rajeev; Dai, Jingyu; Dalponte, Michele; Dimobe, Kangbéni; Domec, Jean-Christophe; Doucet, Jean-Louis; Duursma, Remko A; Enríquez, Moisés; Van Ewijk, Karin Y; Farfán-Rios, William; Fayolle, Adeline; Forni, Eric; Forrester, David I; Gilani, Hammad; Godlee, John L; Gourlet-Fleury, Sylvie; Haeni, Matthias; Hall, Jefferson S; He, Jie-Kun; Hemp, Andreas; Hernández-Stefanoni, José L; Higgins, Steven I; Holdaway, Robert J; Hussain, Kiramat; Hutley, Lindsay B; Ichie, Tomoaki; Iida, Yoshiko; Jiang, Hai-Sheng; Joshi, Puspa Raj; Kaboli, Hasan; Larsary, Maryam Kazempour; Kenzo, Tanaka; Kloeppel, Brian D; Kohyama, Takashi; Kunwar, Suwash; Kuyah, Shem; Kvasnica, Jakub; Lin, Siliang; Lines, Emily; Liu, Hongyan; Lorimer, Craig; Loumeto, Jean-Joël; Malhi, Yadvinder; Marshall, Peter L; Mattsson, Eskil; Matula, Radim; Meave, Jorge A; Mensah, Sylvanus; Mi, Xiangcheng; Momo, Stéphane; Moncrieff, Glenn R; Mora, Francisco; Nissanka, Sarath P; O'Hara, Kevin L; Pearce, Steven; Pelissier, Raphaël; Peri, Pablo L; Ploton, Pierre; Poorter, Lourens; Pour, Mohsen Javanmiri; Pourbabaei, Hassan; Rada, Juan Manuel Dupuy; Ribeiro, Sabina C; Ryan, Casey; Sanaei, Anvar; Sanger, Jennifer; Schlund, Michael; Sellan, Giacomo; Shenkin, Alexander; Sonké, Bonaventure; Sterck, Frank J; Svátek, Martin; Takagi, Kentaro; Trugman, Anna T; Ullah, Farman; Vadeboncoeur, Matthew A; Valipour, Ahmad; Vanderwel, Mark C; Vovides, Alejandra G; Wang, Weiwei; Wang, Li-Qiu; Wirth, Christian; Woods, Murray; Xiang, Wenhua; De Aquino Ximenes, Fabiano; Xu, Yaozhan; Yamada, Toshihiro; Zavala, Miguel A;pmid: 35703577
pmc: PMC9542605
Data capturing multiple axes of tree size and shape, such as a tree's stem diameter, height and crown size, underpin a wide range of ecological research-from developing and testing theory on forest structure and dynamics, to estimating forest carbon stocks and their uncertainties, and integrating remote sensing imagery into forest monitoring programmes. However, these data can be surprisingly hard to come by, particularly for certain regions of the world and for specific taxonomic groups, posing a real barrier to progress in these fields. To overcome this challenge, we developed the Tallo database, a collection of 498,838 georeferenced and taxonomically standardized records of individual trees for which stem diameter, height and/or crown radius have been measured. These data were collected at 61,856 globally distributed sites, spanning all major forested and non-forested biomes. The majority of trees in the database are identified to species (88%), and collectively Tallo includes data for 5163 species distributed across 1453 genera and 187 plant families. The database is publicly archived under a CC-BY 4.0 licence and can be access from: https://doi.org/10.5281/zenodo.6637599. To demonstrate its value, here we present three case studies that highlight how the Tallo database can be used to address a range of theoretical and applied questions in ecology-from testing the predictions of metabolic scaling theory, to exploring the limits of tree allometric plasticity along environmental gradients and modelling global variation in maximum attainable tree height. In doing so, we provide a key resource for field ecologists, remote sensing researchers and the modelling community working together to better understand the role that trees play in regulating the terrestrial carbon cycle. Funder: U.S. Department of Energy; Id: http://dx.doi.org/10.13039/100000015 Funder: CAPES; Id: http://dx.doi.org/10.13039/501100002322 Funder: Agua Salud Project
CORE (RIOXX-UK Aggre... arrow_drop_down Global Change Biology; Research@WUR; Archivio istituzionale della ricerca - Fondazione Edmund Mach; NERC Open Research ArchiveArticle . 2022 . Peer-reviewedLicense: CC BYGlobal Change BiologyArticle . 2022Full-Text: https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2022/isi/schlund_tal.pdfData sources: NARCISadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 59visibility views 59 download downloads 59 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Global Change Biology; Research@WUR; Archivio istituzionale della ricerca - Fondazione Edmund Mach; NERC Open Research ArchiveArticle . 2022 . Peer-reviewedLicense: CC BYGlobal Change BiologyArticle . 2022Full-Text: https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2022/isi/schlund_tal.pdfData sources: NARCISadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Denmark, United Kingdom, United Kingdom, Italy, Italy, Switzerland, FrancePublisher:IOP Publishing Funded by:EC | HBP, EC | ANDANTE, EC | MNEMOSENE +19 projectsEC| HBP ,EC| ANDANTE ,EC| MNEMOSENE ,UKRI| A scalable chip multiprocessor for large-scale neural simulation ,EC| TEMPO ,NSF| CRI: CI-NEW: Trainable Reconfigurable Development Platform for Large-Scale Neuromorphic Cognitive Computing ,EC| BioWings ,EC| HBP SGA3 ,UKRI| EPSRC Fellowships in Manufacturing: Additive nanomanufacturing via probe-based pick-and-place nanoparticle assembly ,EC| PROJESTOR ,EC| PINQS ,EC| StorAIge ,UKRI| Biologically-Inspired Massively Parallel Architectures - computing beyond a million processors ,EC| MANIC ,EC| MeM-Scales ,UKRI| Manufacturing and Application of Next Generation Chalcogenides ,EC| SpinAge ,UKRI| Wearable and flexible technologies enabled by advanced thin-film manufacture and metrology ,EC| HERMES ,EC| NEUROTECH ,EC| NeurONN ,EC| NeuroAgentsAuthors: Christensen, Dennis V.; Dittmann, Regina; Linares-Barranco, Bernabé; Sebastian, Abu; +63 AuthorsChristensen, Dennis V.; Dittmann, Regina; Linares-Barranco, Bernabé; Sebastian, Abu; Gallo, Manuel Le; Redaelli, Andrea; Slesazeck, Stefan; Mikolajick, Thomas; Spiga, Sabina; Menzel, Stephan; Valov, Ilia; Milano, Gianluca; Ricciardi, Carlo; Liang, Shi-Jun; Miao, Feng; Lanza, Mario; Quill, Tyler J.; Keene, Scott T.; Salleo, Alberto; Grollier, Julie; Marković, Danijela; Mizrahi, Alice; Yao, Peng; Yang, J. Joshua; Indiveri, Giacomo; Strachan, John Paul; Datta, Suman; Vianello, Elisa; Valentian, Alexandre; Feldmann, Johannes; Li, Xuan; Pernice, Wolfram H. P.; Bhaskaran, Harish; Furber, Steve; Neftci, Emre; Scherr, Franz; Maass, Wolfgang; Ramaswamy, Srikanth; Tapson, Jonathan; Panda, Priyadarshini; Kim, Youngeun; Tanaka, Gouhei; Thorpe, Simon; Bartolozzi, Chiara; Cleland, Thomas A.; Posch, Christoph; Liu, Shih-Chii; Panuccio, Gabriella; Mahmud, Mufti; Mazumder, Arnab Neelim; Hosseini, Morteza; Mohsenin, Tinoosh; Donati, Elisa; Tolu, Silvia; Galeazzi, Roberto; Christensen, Martin Ejsing; Holm, Sune; Ielmini, Daniele; Pryds, N.; Christensen, Dennis; Le Gallo, Manuel; Quill, Tyler; Keene, Scott; Yang, J Joshua; Pernice, Wolfram; Cleland, Thomas; Liu, Shihchii;Abstract Modern computation based on von Neumann architecture is now a mature cutting-edge science. In the von Neumann architecture, processing and memory units are implemented as separate blocks interchanging data intensively and continuously. This data transfer is responsible for a large part of the power consumption. The next generation computer technology is expected to solve problems at the exascale with 1018 calculations each second. Even though these future computers will be incredibly powerful, if they are based on von Neumann type architectures, they will consume between 20 and 30 megawatts of power and will not have intrinsic physically built-in capabilities to learn or deal with complex data as our brain does. These needs can be addressed by neuromorphic computing systems which are inspired by the biological concepts of the human brain. This new generation of computers has the potential to be used for the storage and processing of large amounts of digital information with much lower power consumption than conventional processors. Among their potential future applications, an important niche is moving the control from data centers to edge devices. The aim of this roadmap is to present a snapshot of the present state of neuromorphic technology and provide an opinion on the challenges and opportunities that the future holds in the major areas of neuromorphic technology, namely materials, devices, neuromorphic circuits, neuromorphic algorithms, applications, and ethics. The roadmap is a collection of perspectives where leading researchers in the neuromorphic community provide their own view about the current state and the future challenges for each research area. We hope that this roadmap will be a useful resource by providing a concise yet comprehensive introduction to readers outside this field, for those who are just entering the field, as well as providing future perspectives for those who are well established in the neuromorphic computing community. Funder: National Institute on Deafness and Other Communication Disorders; doi: https://doi.org/10.13039/100000055 Funder: Collaborative Innovation Center of Advanced Microstructures; doi: https://doi.org/10.13039/501100016018 Funder: Centre National de la Recherche Scientifique; doi: https://doi.org/10.13039/501100004794 Funder: Bundesministerium für Bildung und Forschung; doi: https://doi.org/10.13039/501100002347 Funder: Defense Advanced Research Projects Agency; doi: https://doi.org/10.13039/100000185 Funder: Deutsche Forschungsgemeinschaft; doi: https://doi.org/10.13039/501100001659 Funder: ETH Zürich Foundation; doi: https://doi.org/10.13039/501100012652 Funder: Freistaat Sachsen; doi: https://doi.org/10.13039/501100014913
RE.PUBLIC@POLIMI Res... arrow_drop_down Copenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemInfoscience - EPFL scientific publicationsArticleData sources: Infoscience - EPFL scientific publicationsNeuromorphic Computing and EngineeringOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveOnline Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyThe University of Manchester - Institutional RepositoryArticle . 2022Data sources: The University of Manchester - Institutional RepositoryMémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03872100/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 207 citations 207 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!visibility 56visibility views 56 download downloads 164 Powered bymore_vert RE.PUBLIC@POLIMI Res... arrow_drop_down Copenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemInfoscience - EPFL scientific publicationsArticleData sources: Infoscience - EPFL scientific publicationsNeuromorphic Computing and EngineeringOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYarXiv.org e-Print ArchiveOther literature type . Preprint . 2021Data sources: arXiv.org e-Print ArchiveOnline Research Database In TechnologyArticle . 2022Data sources: Online Research Database In TechnologyThe University of Manchester - Institutional RepositoryArticle . 2022Data sources: The University of Manchester - Institutional RepositoryMémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.science/hal-03872100/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 ItalyPublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:NSF | NeTS: JUNO2: Collaborativ..., NSF | CPS: TTP Option: Synergy:..., NSF | SCC-IRG Track 2: Smart In... +1 projectsNSF| NeTS: JUNO2: Collaborative Research: STEAM: Secure and Trustworthy Framework for Integrated Energy and Mobility in Smart Connected Communities ,NSF| CPS: TTP Option: Synergy: Collaborative Research: Threat Assessment Tools for Management-Coupled Cyber- and Physical- Infrastructures ,NSF| SCC-IRG Track 2: Smart Integrated Farm Network for Rural Agricultural Communities (SIRAC) ,NSF| SPX: Collaborative Research: SANDY: Sparsification-based Approach for Analyzing Network DynamicsAuthors: Francesco Betti Sorbelli; Cristina M. Pinotti; Simone Silvestri; Sajal K. Das;Francesco Betti Sorbelli; Cristina M. Pinotti; Simone Silvestri; Sajal K. Das;handle: 11391/1478273
Localizing ground devices (GDs) is an important requirement for a wide variety of applications, such as infrastructure monitoring, precision agriculture, search and rescue operations, to name a few. To this end, unmanned aerial vehicles (UAVs) or drones offer a promising technology due to their flexibility. However, the distance measurements performed using a drone, an integral part of a localization procedure, incur several errors that affect the localization accuracy. In this paper, we provide analytical expressions for the impact of different kinds of measurement errors on the ground distance between the UAV and GDs. We review three range-based and three range-free localization algorithms, identify their source of errors, and analytically derive the error bounds resulting from aggregating multiple inaccurate measurements. We then extend the range-free algorithms for improved accuracy. We validate our theoretical analysis and compare the observed localization error of the algorithms after collecting data from a testbed using ten GDs and one drone, equipped with ultra wide band (UWB) antennas and operating in an open field. Results show that our analysis closely matches with experimental localization errors. Moreover, compared to their original counterparts, the extended range-free algorithms significantly improve the accuracy.
arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2020Data sources: arXiv.org e-Print ArchiveIEEE Transactions on Mobile ComputingArticle . 2022 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down arXiv.org e-Print ArchiveOther literature type . Preprint . 2020Data sources: arXiv.org e-Print ArchiveIEEE Transactions on Mobile ComputingArticle . 2022 . Peer-reviewedLicense: IEEE CopyrightData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 ItalyPublisher:Springer Science and Business Media LLC Funded by:EC | MEMMO, NSF | W-HTF-RL: Collaborative R..., NSF | Risk-Aware Planning and C... +2 projectsEC| MEMMO ,NSF| W-HTF-RL: Collaborative Research: Improving the Future of Retail and Warehouse Workers with Upper Limb Disabilities via Perceptive and Adaptive Soft Wearable Robots ,NSF| Risk-Aware Planning and Control of Robot Motion Including Intermittent Physical Contact ,NSF| CPS: Medium: Accurate and Efficient Collective Additive Manufacturing by Mobile Robots ,NSF| NRI: FND: Action-perception loops over 5G millimeter wave wireless for cooperative manipulationHammoud B.; Olivieri L.; Righetti L.; Carpentier J.; Del Prete A.;handle: 11572/376888
IRIS - Institutional... arrow_drop_down Multibody System DynamicsOther literature type . Article . 2022 . Peer-reviewedLicense: Springer TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert IRIS - Institutional... arrow_drop_down Multibody System DynamicsOther literature type . Article . 2022 . Peer-reviewedLicense: Springer TDMadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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