Evolving Robot Behaviors

نویسندگان

  • ALAN C. SCHULTZ
  • JOHN J. GREFENSTETTE
چکیده

This paper discusses the use of evolutionary computation to evolve behaviors that exhibit emergent intelligent behavior. Genetic algorithms are used to learn navigation and collision avoidance behaviors for robots. The learning is performed under simulation, and the resulting behaviors are then used to control the actual robot. Some of the emergent behavior is described in detail.

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تاریخ انتشار 1994