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
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;
Conference_Titel :
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-1965-6
DOI :
10.1109/ROBOT.1995.525452
