Feedback Strategies for Telemanipulation with Shared Control of Object Handling Forces

Author:

Griffin Weston B.1,Provancher William R.2,Cutkosky Mark R.3

Affiliation:

1. GE Global Research, Niskayuna, New York

2. Department of Mechanical Engineering, University of Utah, Salt Lake City, Utah

3. Department of Mechanical Engineering, Stanford University, Stanford, California

Abstract

Shared control represents a middle ground between supervisory control and traditional bilateral control in which the remote system can exert control over some aspects of the task while the human operator maintains access to low-level forces and motions. In the case of dexterous telemanipulation, a natural approach is to share control of the object handling forces while giving the human operator direct access to remote tactile and force information at the slave fingertips. We describe a set of experiments designed to determine whether shared control can improve the ability of an operator to handle objects delicately and to determine what combinations of force, visual, and audio feedback provide the best level of performance and operator sense of presence. The results demonstrate the benefits of shared control and the need to carefully choose the types and methods of direct and indirect feedback.

Publisher

MIT Press - Journals

Subject

Computer Vision and Pattern Recognition,Human-Computer Interaction,Control and Systems Engineering,Software

Cited by 54 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Shared-Control Teleoperation Paradigms on a Soft-Growing Robot Manipulator;Journal of Intelligent & Robotic Systems;2023-09-22

2. Haptic-Based Isomorphic Teleoperation System for Nuclear Spent Fuel Post-process;Proceedings of the World Conference on Intelligent and 3-D Technologies (WCI3DT 2022);2023

3. Intention estimation from gaze and motion features for human-robot shared-control object manipulation;2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2022-10-23

4. Reinforcement Learning Based Shared Control: A Novel Teleoperation Strategy for Robotic;2022 International Conference on Advanced Robotics and Mechatronics (ICARM);2022-07-09

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