Robot learning to walk: An architectural problem for intelligent controllers

Author

Guinea, D. ; Garcia-Alegre, M.C. ; Kalata, P. ; Lacaze, A. ; Meyste, A.

Author_Institution

Inst. de Autom. Ind., Madrid, Spain

fYear

1993

fDate

25-27 Aug 1993

Firstpage

493

Lastpage

498

Abstract

The authors analyze the design premises of a new control architecture based on the principle of nested hierarchical control which has the feature of learning from the already programmed skills of a teleoperated system. Different architectural principles are explored and compared. It is shown how high level languages can be built from low level knowledge by using cooperation of the already existing skills, new expert knowledge (teaching new heuristics), and self-experience (example based) learning

Keywords

control system synthesis; hierarchical systems; intelligent control; knowledge based systems; learning systems; mobile robots; control architecture; example based learning; high level languages; intelligent controllers; mobile robots; nested hierarchical control; programmed skills; self experience learning; Control systems; Decision making; Education; Educational robots; High level languages; Humans; Intelligent robots; Knowledge transfer; Legged locomotion; Robot sensing systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1993., Proceedings of the 1993 IEEE International Symposium on

Conference_Location

Chicago, IL

ISSN

2158-9860

Print_ISBN

0-7803-1206-6

Type

conf

DOI

10.1109/ISIC.1993.397664

Filename

397664