Health Signal Generation in the ORCA (Organic Robot Control Architecture) Framework

نویسندگان

  • Raphael Maas
  • Erik Maehle
چکیده

This paper evaluates various information-theoretical methods for the generation of health signals in the Organic Robot Control Architecture (ORCA). Also a new method based on the joint probability distribution of signals is proposed. The results show that the new method is superior to the known ones for the studied worst-case artificial and real scenarios. As an example for the application of health signals in ORCA, an adaptable path planner is described which considers the health status of a partially damaged robot.

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تاریخ انتشار 2014