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
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;
Conference_Titel :
Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-8186-2163-X
DOI :
10.1109/ROBOT.1991.131583
