Proceedings

Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition

Download BibTeX Cite

Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Parallel and Distributed Processing. Pages 193-197.

Abstract

Thi s pa per describes an approach to robotic contr ol that is patterned after models of human skill acqulSlt.lOn. The intent is to develop robots ca pabl e oflearning how to accomplish complex tasks us ing designer-supplied instructions and se lf induced practice. A simulation is presented in which a rule-based system supervises the training of a n e ural network and controls the operation of the system during the learning process . Simulation results show the interaction between rul e -based and network-based system compon e nts during various phases of training and s up e rvision .

David Handelman, Stephen H. Lane, and Jack Gelfand. 1989. Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89. IJCAI, 193–197. https://ijcai.org/proceedings/1989/31
Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards