DocumentCode
842985
Title
Learning optimal robotic tasks
Author
Lima, Pedro U. ; Saridis, George N.
Author_Institution
Inst. Superior Tecnico, Lisbon, Portugal
Volume
11
Issue
2
fYear
1996
fDate
4/1/1996 12:00:00 AM
Firstpage
38
Lastpage
45
Abstract
A reinforcement learning system for machine-intelligence robots introduces a performance measure that balances an algorithm´s reliability and computational cost. The system uses this measure to learn the best among a set of alternative tasks capable of executing a command communicated to the intelligent machine
Keywords
intelligent control; learning (artificial intelligence); optimal control; algorithm reliability; command execution; computational cost; intelligent machine; machine-intelligence robots; optimal robotic task learning; performance measure; reinforcement learning system; Computational intelligence; Design methodology; Force control; Intelligent control; Intelligent robots; Manipulators; Robot kinematics; Robot sensing systems; Service robots; Stress measurement;
fLanguage
English
Journal_Title
IEEE Expert
Publisher
ieee
ISSN
0885-9000
Type
jour
DOI
10.1109/64.491280
Filename
491280
Link To Document