Abstract
The evaluation of robotic hands is a subjectively biased, complex process. The fields pertaining to robotic hands are human-centric in nature, making human hands a good standard for benchmark comparisons of robotic hands. To achieve this, we propose a new evaluation index, where we evaluate robotic hands on three fronts: their form, features and performance. An evaluation on how anthropomorphic robotic hands are in basic mobility, and appearance constitutes the “Form”, while features that can be read, changed and actuated for effective control of robotic hands constitutes the “Features”. We derived these key features from an extensive analysis of robotic hands in literature. Finally, the robotic hands carry out a series of tasks that evaluate their “Performance”. An individual score for each category is drawn and we carry out a three-pronged analysis. We also propose an additional feature in the form of price to provide context when analysing multiple hands.
Highlights
The analysis of end effectors or robotic hands has been a problem as old as robotic hands themselves
We developed the FFP index to provide a more objective platform for evaluating robotic hands
The quantitative evaluations allowed for comparing key characteristics of given robotic hands with respect to the state of the art, suggesting the rationale used to resolve design trade-offs
Summary
The analysis of end effectors or robotic hands has been a problem as old as robotic hands themselves. The tests have often been tailored to facilitate and highlight the end user experience. This has led to the lack of a balanced vision when it comes to the design and evaluation of robotic hands. There exist numerous methods that evaluate various aspects of robotic hands. One such famous method is in the benchmarking of anthropomorphism and dexterity in robotic hands proposed by Biagiotti et al [3] in 2004, where they provide separate evaluation indices for both anthropomorphism and dexterity. There exists a number of practical assessment tests for human hands such as the The Southampton Hand Assessment Procedure (SHAP) evaluation [4]
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