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This project contains a collection of robotics algorithms, drivers and tools developed by researchers at Bosch Research and Technology Center in Palo Alto, CA. The project uses the infrastructure provided by ROS.
The TUM personal robotics package is a collection of libraries that aims to offer methods for personal robotic assistants to operate successfully in indoor environments.
The USC ROS packages project offers algorithms and drivers for the robotics projects underway in the labs at the University of Southern California. These packages are for use with the ROS software infrastructure (http://ros.sourceforge.net/).
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The CMU personal robotics package offers many robotics algorithms/controllers/drivers that enable robots to perform basic tasks like manipulation and vision. The main infrastructure used is OpenRAVE and Robot Operating System (ROS).
The Rice Personal Robotics Package is a collection of libraries that aims to offer methods for personal robotic assistants to operate successfully in indoor environments. These libraries are mostly focused on motion planning tasks.
The Sick LIDAR Matlab/C++ Toolbox offers stable and easy-to-use C++ drivers for Sick LMS and Sick LD LIDARs. It provides a Matlab Mex interface for streaming LIDAR returns directly into Matlab. Also included are config utilities, examples, and tutorials.