Kinematic Optimization of Phalanx Length Ratios in Robotic Hands Using Potential Dexterity

TL;DR

This paper introduces a systematic framework for optimizing phalanx length ratios in robotic hands to enhance dexterity, using multiple kinematic metrics and a voxel-based workspace analysis.

Contribution

It presents a novel optimization method for robotic hand design that considers multiple dexterity metrics and excludes non-overlapping configurations.

Findings

Optimal phalanx length ratios vary across fingers.

Weighting coefficients influence design trade-offs.

The framework identifies non-uniform contributions of each phalanx.

Abstract

In the design stage of robotic hands, it is not straightforward to quantitatively evaluate the effect of phalanx length ratios on dexterity without defining specific objects or manipulation tasks. Therefore, this study presents a framework for optimizing the phalanx length ratios of a five-finger robotic hand based on potential dexterity within a kinematic structure. The proposed method employs global manipulability, workspace volume, overlap workspace volume, and fingertip sensitivity as evaluation metrics, and identifies optimal design configurations using a weighted objective function under given constraints. The reachable workspace is discretized using a voxel-based representation, and joint motions are discretized at uniform intervals for evaluation. The optimization is performed over design sets for both the thumb and the other fingers, and design combinations that do not generate overlap workspace are excluded. The results show that each phalanx does not contribute equally to the overall dexterity, and the factors influencing each phalanx are identified. In addition, it is observed that the selection of weighting coefficients does not necessarily lead to the direct maximization of individual performance metrics, due to the non-uniform distribution of evaluation measures within the design space. The proposed framework provides a systematic approach to analyze the trade-offs among reachability, dexterity, and controllability, and can serve as a practical guideline for the kinematic design of multi-fingered robotic hands.