A Simplified Grasping Strategy for Under-Driven Dexterous Hand Based on Geometric Structure

In the field of grasping strategies for under-driven dexterous hands, intricate dynamic modeling is crucial to build the relationship between motor input currents and fingertip output forces. Compared with previous study, this study simplified the dynamics modeling, which only needs to build kinematics model and creates the grasping strategy based on geometric structure of the object. Future work envisions shapebased object classification, resulting in customized gripping strategies and a library of geometry-specific gripping methods.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/iaecst64597.2024.11117905
Citations
1
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
0.33
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article

A Simplified Grasping Strategy for Under-Driven Dexterous Hand Based on Geometric Structure

Yuk Ming Tang, Liang He
1 citations
Robot Manipulation and Learning
0.33
article

A Simplified Grasping Strategy for Under-Driven Dexterous Hand Based on Geometric Structure

Yuk Ming Tang, Liang He
article en
1 citations

Abstract

In the field of grasping strategies for under-driven dexterous hands, intricate dynamic modeling is crucial to build the relationship between motor input currents and fingertip output forces. Compared with previous study, this study simplified the dynamics modeling, which only needs to build kinematics model and creates the grasping strategy based on geometric structure of the object. Future work envisions shapebased object classification, resulting in customized gripping strategies and a library of geometry-specific gripping methods.

Northwestern Polytechnical University (CN)
Openalex Percentile: Top 35%
Robot Manipulation and Learning
0.33
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