Intent-based Task-Oriented Shared Control for Intuitive Telemanipulation

The unique challenges in shared control for telemanipulation-beyond teleoperation-include physical discrepancy between human and robot hands and the fine manipulation constraints needed for task success. We present an intuitive shared-control strategy that generates robotic grasp poses better suited for human perception of success and feeling of control while ensuring a stable grasp for task success. The robot’s motion follows an arbitration between following the user’s motion constraints and accomplishing the inferred task. The arbitration adapts based on the physical discrepancy between the human and robot hands. We have conducted a user study with a telemanipulation scenario to analyze the effects of task predictability, following, and user preference. The results demonstrated that intent-based approaches provide advantages over direct motion mapping strategies.

Authors

Institutions

Publication Details

Journal
Journal of Intelligent & Robotic Systems
Published
2024-12-03
DOI
https://doi.org/10.1007/s10846-024-02185-1
Citations
5
Primary Topic
Teleoperation and Haptic Systems
Type
article
Field-Weighted Citation Impact
1.06

Funders

Controls
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article

Intent-based Task-Oriented Shared Control for Intuitive Telemanipulation

Jiucai Zhang, Michael K. Bowman, Xiaoli Zhang
5 citations
Journal of Intelligent & Robotic Systems
Teleoperation and Haptic Systems
1.06
article

Intent-based Task-Oriented Shared Control for Intuitive Telemanipulation

Jiucai Zhang, Michael K. Bowman, Xiaoli Zhang
article en
5 citations

Abstract

The unique challenges in shared control for telemanipulation-beyond teleoperation-include physical discrepancy between human and robot hands and the fine manipulation constraints needed for task success. We present an intuitive shared-control strategy that generates robotic grasp poses better suited for human perception of success and feeling of control while ensuring a stable grasp for task success. The robot’s motion follows an arbitration between following the user’s motion constraints and accomplishing the inferred task. The arbitration adapts based on the physical discrepancy between the human and robot hands. We have conducted a user study with a telemanipulation scenario to analyze the effects of task predictability, following, and user preference. The results demonstrated that intent-based approaches provide advantages over direct motion mapping strategies.

Journal of Intelligent & Robotic SystemsVol. 110(4)
Colorado School of Mines (US), Silicon Valley University (US)
National Science Foundation
Reduced inequalities
Openalex Percentile: Top 25%
Teleoperation and Haptic Systems
1.06
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Intent-based Task-Oriented Shared Control for Intuitive Telemanipulation — Jiucai Zhang, Michael K. Bowman, et al. · Journal of Intelligent & Robotic Systems (2024) | TGRS Research Map | TGRS