Integration of Symbolic and Connectionist Learning to ease Robot Programming and Control

نویسنده

  • Michael Kaiser
چکیده

This paper presents an overview on the advantages an integrated symbolic connectionist approach can ooer for robot programming and control. It describes the functional dependency of symbolic and con-nectionist modules being parts of an hierarchical robot control system as well as their descriptive and methodological integration. Moreover, it is shown how both symbolic and connectionist learning techniques can be used to make robot programming easier, namely by means of employing a new technique called "Robot Programming by Demonstration" on several levels of the robot control system.

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تاریخ انتشار 1994