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research:acat [2014/02/22 21:29] – tenorth | research:acat [2023/09/18 13:57] – cstoess | ||
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// Learning and Execution of Action Categories // | // Learning and Execution of Action Categories // | ||
- | The aim of ACAT is to provide artificial systems with abstract, functional knowledge about relationships between | + | The aim of ACAT is to provide artificial systems with abstract, functional knowledge about relationships between |
- | Action categories are designed to include both action encoding and context information, obtained by combining linguistic analysis with grounded | + | Action categories are designed to include both action encoding and context information obtained by combining linguistic analysis with indepth |
- | {{projects: | + | {{ projects: |
An example industrial application for ACAT would be to use manuals, made for human workers, to construct robot-executable instructions. This would enable the robot to do certain human tasks without time-consuming programming procedures. The result of the ACAT project is a robot-compiler which translates human understandable information into a program a robot can execute. | An example industrial application for ACAT would be to use manuals, made for human workers, to construct robot-executable instructions. This would enable the robot to do certain human tasks without time-consuming programming procedures. The result of the ACAT project is a robot-compiler which translates human understandable information into a program a robot can execute. |
Prof. Dr. hc. Michael Beetz PhD
Head of Institute
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ai-office@cs.uni-bremen.de
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