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| teaching:gsoc2017 [2017/02/08 08:07] – [KnowRob -- Robot Knowledge Processing] lisca | teaching:gsoc2017 [2017/02/08 08:07] – [KnowRob -- Robot Knowledge Processing] lisca | ||
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| that also provides extensive documentation on its [[http:// | that also provides extensive documentation on its [[http:// | ||
| + | ===== CRAM -- Robot Plans ===== | ||
| + | |||
| + | CRAM is a high-level system for designing and performing abstract | ||
| + | robot plans to define intelligent robot behavior. It consists of a | ||
| + | library of generic, robot platform independent plans, elaborate | ||
| + | reasoning mechanisms for detecting and repairing plan failures, as | ||
| + | well as interface modules for executing these plans on real robot | ||
| + | hardware. It supplies robots with concurrent, reactive task execution | ||
| + | capabilities and makes use of knowledge processing backends, such as | ||
| + | KnowRob, for information retrieval. | ||
| + | |||
| + | CRAM builds on top of the ROS ecosystem and is actively developed as an | ||
| + | [[http:// | ||
| + | It is the basis for high-level robot control in many parts of the | ||
| + | world, especially in several European research projects covering | ||
| + | applications from geometrically abstract object manipulation | ||
| + | (RoboHow), multi-robot task coordination and execution (SHERPA), | ||
| + | experience based task parametrization retrieval (RoboEarth), | ||
| + | human robot interaction (SAPHARI). | ||
| + | Further information, | ||
| + | use-cases can be found at the [[http:// | ||
| + | website]]. | ||
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
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Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de
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