Composite Objective Optimization of Finger Length Under Performance Trade-Offs and Constraints

The inherent trade-off between structural compactness and functional versatility poses a fundamental challenge in biomimetic robotic hand design. This paper presents a multi-objective optimization framework for determining the optimal phalanx length allocation of a biomimetic finger under a fixed total-length constraint. Three performance criteria are formulated: grasp capability, measured by the area of a novel shared workspace (Region II) between power grasping and precision manipulation; kinematic dexterity, evaluated as the global average of the reciprocal condition number of the Jacobian matrix; and key-press range, defined as the maximum static fingertip span under perpendicularity and slope constraints. A full grid search reveals distinct optimal configurations for each objective. Pareto analysis of 117 non-dominated solutions shows that the key-press range is most sensitive to dimensional variations, with a 24.7% performance spread. A hierarchical selection strategy that prioritizes the key-press range while balancing the other two objectives yields a recommended compromise design. Experimental validation of the key-press reachability for the recommended compromise design achieves a 98.8% keystroke success rate over 1000 cross-row strikes without wrist movement. These results confirm its practical feasibility for fine manipulation tasks, while experimental characterization of the grasp capability and kinematic dexterity objectives remains as future work.

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Publication Details

Journal
Biomimetics
Published
2026-07-30
DOI
https://doi.org/10.3390/biomimetics11080529
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
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Composite Objective Optimization of Finger Length Under Performance Trade-Offs and Constraints

Lei Jiang, Xianwei Liu, Hongtao Wang, Yongbin Jin et al.
Biomimetics
Robot Manipulation and Learning
article

Composite Objective Optimization of Finger Length Under Performance Trade-Offs and Constraints

Lei Jiang, Xianwei Liu, Hongtao Wang, Yongbin Jin, Chaojie Fu, Kaixin Lan
article en

Abstract

The inherent trade-off between structural compactness and functional versatility poses a fundamental challenge in biomimetic robotic hand design. This paper presents a multi-objective optimization framework for determining the optimal phalanx length allocation of a biomimetic finger under a fixed total-length constraint. Three performance criteria are formulated: grasp capability, measured by the area of a novel shared workspace (Region II) between power grasping and precision manipulation; kinematic dexterity, evaluated as the global average of the reciprocal condition number of the Jacobian matrix; and key-press range, defined as the maximum static fingertip span under perpendicularity and slope constraints. A full grid search reveals distinct optimal configurations for each objective. Pareto analysis of 117 non-dominated solutions shows that the key-press range is most sensitive to dimensional variations, with a 24.7% performance spread. A hierarchical selection strategy that prioritizes the key-press range while balancing the other two objectives yields a recommended compromise design. Experimental validation of the key-press reachability for the recommended compromise design achieves a 98.8% keystroke success rate over 1000 cross-row strikes without wrist movement. These results confirm its practical feasibility for fine manipulation tasks, while experimental characterization of the grasp capability and kinematic dexterity objectives remains as future work.

BiomimeticsVol. 11(8)
Zhejiang University of Science and Technology (CN), Zhejiang University (CN)
Openalex Percentile: Top 11%
Robot Manipulation and Learning
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