DocumentCode
3214267
Title
Learning error-recovery strategies in telerobotic systems
Author
Zheng, Yu ; Daneshmend, Laeeque K.
Author_Institution
McGill Res. Centre for Intelligent Machines, McGill Univ., Montreal, Que., Canada
fYear
1991
fDate
9-11 Apr 1991
Firstpage
252
Abstract
The reduction of the dependence of the autonomous system on the human operator when recovering from error states is addressed. The focus is on the problem of formulating error recovery strategies, rather than that of the overall planning of complex tasks. A novel approach that utilizes explanation-Xased learning as a framework for the acquisition of error recovery knowledge is presented
Keywords
explanation; knowledge acquisition; learning systems; robots; telecontrol; autonomous system; error-recovery strategies; explanation-Xased learning; telerobotic systems; Artificial intelligence; Costs; Error analysis; Error correction; Failure analysis; Humans; Libraries; Neck; Robot sensing systems; Telerobotics;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
Conference_Location
Sacramento, CA
Print_ISBN
0-8186-2163-X
Type
conf
DOI
10.1109/ROBOT.1991.131583
Filename
131583
Link To Document