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--- teaching:gsoc2017 [2017/02/08 08:07] – [KnowRob -- Robot Knowledge Processing] lisca
+++ teaching:gsoc2017 [2017/02/08 08:08] – [CRAM -- Robot Plans] lisca
@@ Line 32: / Line 32: @@
 KnowRob is an open-source project hosted at [[http://github.com/knowrob|GitHub]]
 that also provides extensive documentation on its [[http://www.knowrob.org|website]] -- from getting-started guides to tutorials for advanced topics in robot knowledge representation.
+===== 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://github.com/cram-code|open-source project on GitHub]].
+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), and safe
+human robot interaction (SAPHARI).
+Further information, as well as documentation and application
+use-cases can be found at the [[http://www.cram-system.org/|CRAM
+website]].

Prof. Dr. hc. Michael Beetz PhD
Head of Institute

Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de

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