OpenRAVE : A Planning Architecture for Autonomous Robotics. Diankov, R. & Kuffner, J. Robotics, 2008.
OpenRAVE : A Planning Architecture for Autonomous Robotics [pdf]Website  abstract   bibtex   
One of the challenges in developing real-world autonomous robots is the need for integrating and rigorously test- ing high-level scripting, motion planning, perception, and control algorithms. For this purpose, we introduce an open-source cross-platform software architecture called OpenRAVE, the Open Robotics and Animation Virtual Envi- ronment. OpenRAVE is targeted for real-world autonomous robot applications, and includes a seamless integration of 3-D simulation, visualization, planning, scripting and control. A plugin architecture allows users to easily write cus- tom controllers or extend functionality. With OpenRAVE plugins, any planning algorithm, robot controller, or sensing subsystem can be distributed and dynamically loaded at run-time, which frees developers from struggling with mono- lithic code-bases. Users of OpenRAVE can concentrate on the development of planning and scripting aspects of a problem without having to explicitly manage the details of robot kinematics and dynamics, collision detection, world updates, and robot control. The OpenRAVE architecture provides a flexible interface that can be used in conjunction with other popular robotics packages such as Player and ROS because it is focused on autonomous motion planning and high-level scripting rather than low-level control and message protocols. OpenRAVE also supports a powerful network scripting environment which makes it simple to control and monitor robots and change execution flow dur- ing run-time. One of the key advantages of open component architectures is that they enable the robotics research community to easily share and compare algorithms.

Downloads: 0