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Physically-accurate robotics simulator written in Python
ARS is a physically-accurate robotics simulator written in Python. It's main purpose is to help researchers with to develop mobile manipulators and, in general, any multi-body system. It is open-source, modular, easy to learn and use, and can be a valuable tool in the process of robot design, in the development of control and reasoning algorithms, as well as in teaching and educational activities.
A library that allows programs for a NI CRIO to be run on a computer.
A simulator that allows programs written in Java for a National Instruments CRIO to be run on a local computer by overloading the libraries provided by WPI. Some things we've fixed since 0.1a: Kinect no longer throws an exception upon instantiation, the Watchdog is usable, array elements can now be edited in the gui, and lots of under the hood reimplementation to replace native methods.
DISCLAIMER: this is not like the diamond bullet studios simulation, this only simulates how the...
The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
Can you recover when it matters most? Take this quick assessment to identify gaps and build greater recovery confidence.
Is your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
This project about providing run-time support for developing Decentralized Autonomic Computing systems (Eclipse Innovation Grand). Currently the project contains a automatic guided vehicle (AGV) simulator and an editor and visualisation as eclipse plugin
Simulator for large neuronal networks using leaky INF as its basic element. Simple few line scripts will enable rapid creation of large networks with different connectivities. Aimed at researchers interested in quickly testing large networks of neurons.