RAFCON uses hierarchical state machines, featuring concurrent state execution, to represent robot programs. It ships with a graphical user interface supporting the creation of state machines and contains IDE like debugging mechanisms. Alternatively, state machines can p...

An Inverse Kinematics library aiming performance and modularity IKPy is a fast, easy to install and use Inverse Kinematics library written in pure Python, that works on every robot.

An Inverse Kinematics library aiming performance and modularity IKPy is a fast, easy to install and use Inverse Kinematics library written in pure Python, that works on every robot.

The Cage Aquaculture Particulate Output and Transport (CAPOT) model is an easy to use and flexible farm-scale model that can be used to rapidly estimate particulate waste deposition from cage production. CAPOT is a suitable initial, rapid assessment model to give an ove...

To validate the threat model proposed in the paper: "A Threat Model for Extensible Smart Home Gateways", presented at SpliTech 2022. We developed three different integrations: switch_target, light_altering_state, and light_simple_access. For these testing comp...

NAIDEA was developed as a demonstrative tool that integrates macro-level survey information collected on Ireland’s population of dairy farms with artificial neural network models developed to simulate total, milk cooling, milk harvesting and water heating electric...

This repository contains the dataset analyzed in 'Winter conditions structure extratropical patterns of species richness of amphibians, birds, and mammals globally' - published in the journal Global Ecology and Biogeography - and the R code used to generate the correlat...

There are many, wildly different approaches to robotic control. Underactuated robots are systems for which it is not possible to dictate arbitrary accelerations to all joints. Hence, a controller cannot be used to override the system dynamics and force the system on a d...

Long term analysis of all Atlantic Forest region using the Landtrendr algorithm

:sparkles: :sparkles: Update PyDynamic to 2.2.0 with new convolution feature (8108dbf) :sparkles: Update PyDynamic_tutorials to the most recent version with a spline tutorial and updated deps (c29c962) See all commits in this version