Designing of a Dexterous Hand and Performance Evaluation Based on Teleoperation

We proposed to design and evaluate a dexterous robotic hand through teleoperation. We introduced a dexterous hand with four fully actuated fingers, providing 16 degrees of freedom. A motor independently controls each joint, ensuring precise and flexible movements. The design incorporates an innovative joint distribution structure, enhancing the hand’s flexibility and grasping capabilities. To validate the effectiveness of the design, we conducted a series of real-world experiments where the robotic hand replicated natural finger movements based on human hand gestures. The results demonstrated that the hand pose retargeting method successfully translates human gestures into precise and functional robotic hand movements, highlighting its potential for various practical applications in robotics.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/irac63143.2024.10871387
Citations
3
Primary Topic
Teleoperation and Haptic Systems
Type
article
Field-Weighted Citation Impact
0.64
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article

Designing of a Dexterous Hand and Performance Evaluation Based on Teleoperation

Mingqi Chen, Shutao Huang, Zhong Ming, Qiang Li et al.
3 citations
Teleoperation and Haptic Systems
0.64
article

Designing of a Dexterous Hand and Performance Evaluation Based on Teleoperation

Mingqi Chen, Shutao Huang, Zhong Ming, Qiang Li, Zhenyuan Zhang, Zhaoyang Wu
article en
3 citations

Abstract

We proposed to design and evaluate a dexterous robotic hand through teleoperation. We introduced a dexterous hand with four fully actuated fingers, providing 16 degrees of freedom. A motor independently controls each joint, ensuring precise and flexible movements. The design incorporates an innovative joint distribution structure, enhancing the hand’s flexibility and grasping capabilities. To validate the effectiveness of the design, we conducted a series of real-world experiments where the robotic hand replicated natural finger movements based on human hand gestures. The results demonstrated that the hand pose retargeting method successfully translates human gestures into precise and functional robotic hand movements, highlighting its potential for various practical applications in robotics.

Shenzhen Technology University (CN)
Openalex Percentile: Top 34%
Teleoperation and Haptic Systems
0.64
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