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A C++ framework that implements generalised finite state machines.
...Aside from implementing standard finite state machines and multi-action planning state machines, this library can also be used to implement hierarchical state controllers, or any hybrid of the three. Please refer to the extensive documentation for more information.
I welcome all feedback, suggestions and bug reports!
Email: pallgeuer[at]ais.uni-bonn.de
The Whole-Body Control framework jointly developed at Stanford University and The University of Texas at Austin provides advanced control for fixed base manipulators and is currently running on the the Meka A2 Arm and the Dreamer/Meka Humanoid robot.
The code repository is hosted on Github, please go to
https://github.com/poftwaresatent/stanford_wbc
ManFieLd is an easy-to-use framework to develop filtering applications for Distributed System, relieving the burden of the developer to write the support code for the filtering methods.
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A platform independent framework to remote control Lego Mindstorms NXT from Python.
Using PyBluez http://org.csail.mit.edu/pybluez/ for Bluetooth connectivity and wxPython http://www.wxpython.org/ for UI.
The Stanford Robotics Toolkit. An extensive, plugin-based architecture supporting the simulation and implementation of robotics algorithms. Designed for research purposes, the framework features a processing environment, a 3D GUI, and a CARMEN interface.