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teaching:gsoc2018 [2018/01/22 10:18] – [Topic 3: Unreal - ROS 2 Integration] ahaidu | teaching:gsoc2018 [2018/01/22 13:01] – gkazhoya | ||
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The games are split into two categories: (1) VR/Full Body Tracking with physics based interactions, | The games are split into two categories: (1) VR/Full Body Tracking with physics based interactions, | ||
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+ | ===== CRAM - executive and toolbox for creating cognitive robot behavior ===== | ||
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+ | CRAM is a software toolbox for the design, implementation and deployment of cognition-enabled plan execution on autonomous robots. CRAM equips autonomous robots with lightweight reasoning mechanisms that can infer control decisions rather than requiring the decisions to be preprogrammed. This way CRAM-programmed autonomous robots are more flexible and general than control programs that lack such cognitive capabilities. CRAM does not require the whole reasoning domain to be stated explicitly in an abstract knowledge base. Rather, it grounds symbolic expressions into the perception and actuation routines and into the essential data structures of the control plans. | ||
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+ | CRAM includes a domain-specific language that makes writing reactive concurrent robot behavior easier for the programmer. It extensively uses the ROS middleware infrastructure. | ||
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+ | CRAM is an open-source project hosted on [[https:// | ||
+ | project page ([[http:// | ||
+ | and tutorials that help to get started. | ||
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===== Proposed Topics ===== | ===== Proposed Topics ===== | ||
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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