Abstract: The reduction of the dependence of the autonomous system on the human operator when recovering from error states is addressed.
Learning Error-Recovery Strategies in Telerobotic Systems. Yigong Zheng. Laeeque K. Daneshmend. McGill Research Centre For Intelligent Machines. McGill ...
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 ...
Yigong Zheng, Laeeque Daneshmend: Learning error-recovery strategies in telerobotic systems. ICRA 1991: 252-259. [+][–]. Coauthor network. maximize.
Learning error-recovery strategies in telerobotic systems · Yigong ZhengL. Daneshmend. Computer Science, Engineering. Proceedings. 1991 IEEE International ...
May 29, 2024 · We propose an approach (blending learning with symbolic search) for automated error discovery and recovery, without needing annotated data of failures.
Sep 24, 2024 · Shared control, which permits a human operator and an autonomous controller to share the control of a telerobotic system, can reduce the ...
Apr 21, 2021 · This paper explores the feasibility of a telerobotics approach for locomotor training that allows patients to receive remote physical assistance from trainers.
Designers can induce simulated errors and explore diagnostic and error recovery strategies. Manning and Training Issues: The operational requirements for ...
A Brief Survey of Telerobotic Time Delay Mitigation - Frontiers
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This survey reviews the time delay problem in teleoperation systems. We briefly review different solutions from early approaches.