Expert Control for a Robot Body

Abstract

Mobile robots with dextrous hands and sophisticated sensory systems will require intelligent, knowledge‐based, expert controllers. A design is developed for a robot controller which can acquire task knowledge as it interacts in the world with its human users. The design is based on four reasonable assumptions which lead to a theoretical framework for robot learning systems. The framework is called a multiple‐context learning system. It is a production system with multiple templates for forming productions as the system interacts with the world. Elaborations of the framework and experimental tests of the system are discussed.

Citation

Andreae, J.H. and MacDonald, B.A. (1991), "Expert Control for a Robot Body", Kybernetes, Vol. 20 No. 4, pp. 28-54. https://doi.org/10.1108/eb005892