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Developed on Python to leverage state-of-the-art extensibility and easily integrated plugins
Able to use low cost robots with the accuracy and dexterity of much more expensive robots, achieved in part by:
a) Ability to drive movement by inexpensive DC gear head motors, including the inherent ability to specify movement by applied force rather than strict space/time control that steppers impose.
b) Arms and linkages don't have to have super tight tolerances, because accuracy is achieved by tightly integrated visual feedback that's easy to program and low complexity processing.
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The Constrained Manipulation Planning Suite (CoMPS) consists of three openrave plugins and associated data files. The planning and inverse kinematics algorithms in this suite are designed for articulated robots like robotic arms and humanoids.
CoMPS is implemented in C++ and compiles in linux only. There are also several examples in python and matlab that show how to interface with openrave to use the plugins in CoMPS.
Moved to https://github.com/rdiankov/openrave
An open-source, cross-platform, plugin-based robot planning environment for autonomous robotics. Includes services like collision detection, physics, (inverse) kinematics, sensors, robot controls, python bindings, and a network scripting environment.
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Driver support for 3D Controller Hardware. We hope to support SDL Input, DirectInput, and other major controller API's including game consoles and embedded systems.