DocumentCode
299984
Title
Adaptation and learning in robotics and automation
Author
Narendra, K.S. ; Venkataraman, S.T.
Author_Institution
Center for Syst. Sci., Yale Univ., New Haven, CT, USA
Volume
2
fYear
1995
fDate
21-27 May 1995
Firstpage
1244
Abstract
The paper attempts to describe the reciprocal impact that adaptive control, learning theory, robotics, and automation have had on each other in the past and the influence they may have on each other in the future
Keywords
adaptive control; automation; learning (artificial intelligence); robots; adaptive control; artificial intelligence; automation; learning; robotics; Automatic control; Control systems; Control theory; Electromechanical devices; Feedback; Humanoid robots; Robot vision systems; Robotics and automation; Robust stability; Supervised learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location
Nagoya
ISSN
1050-4729
Print_ISBN
0-7803-1965-6
Type
conf
DOI
10.1109/ROBOT.1995.525452
Filename
525452
Link To Document