A Telepresence Enhancing Method Based on Human Arm Dynamics

Haptic feedback can enhance telepresence when human operators are teleoperating robotic systems to complete diverse tasks. Force sensing as a component of haptic feedback is crucial to teleoperation performance. However, existing teleoperation systems with such functionality often do not have the properties of lightweight and good human-robot interaction at the same time. To overcome this challenge, this paper proposes a telepresence enhancing method using motor vibration induced muscle exertion sensation, upon which a teleoperation device for robotic arms is designed. The provided force feedback within the device can help collect good human demonstration data and then enable robotic arms to perform autonomous manipulation after imitation learning from human. Three different experiments, including force sensation, maze navigation and object manipulation, have been designed to verify the effectiveness of the teleoperation device, as well as the telepresence enhancing method. The results demonstrate that the system can greatly improve the operator's teleoperation performance and incrementally endow the robot with autonomous intelligence.

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Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/robio64047.2024.10907667
Primary Topic
Virtual Reality Applications and Impacts
Type
article
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article

A Telepresence Enhancing Method Based on Human Arm Dynamics

Tengda Wang, Wei Gao, Shiwu Zhang, Yuewei Zhu et al.
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Virtual Reality Applications and Impacts
article

A Telepresence Enhancing Method Based on Human Arm Dynamics

Tengda Wang, Wei Gao, Shiwu Zhang, Yuewei Zhu, Xiaohu Zhang
article en

Abstract

Haptic feedback can enhance telepresence when human operators are teleoperating robotic systems to complete diverse tasks. Force sensing as a component of haptic feedback is crucial to teleoperation performance. However, existing teleoperation systems with such functionality often do not have the properties of lightweight and good human-robot interaction at the same time. To overcome this challenge, this paper proposes a telepresence enhancing method using motor vibration induced muscle exertion sensation, upon which a teleoperation device for robotic arms is designed. The provided force feedback within the device can help collect good human demonstration data and then enable robotic arms to perform autonomous manipulation after imitation learning from human. Three different experiments, including force sensation, maze navigation and object manipulation, have been designed to verify the effectiveness of the teleoperation device, as well as the telepresence enhancing method. The results demonstrate that the system can greatly improve the operator's teleoperation performance and incrementally endow the robot with autonomous intelligence.

University of Science and Technology of China (CN)
Openalex Percentile: Top 72%
Virtual Reality Applications and Impacts
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