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Benchmarking a Robot Hand’s Ability to Translate Objects Using Two Fingers

John Morrow, Joshua Campbell, Ravi Balasubramanian, Cindy Grimm

发表年份
2021
引用次数
4

摘要

This letter presents a novel benchmark called the Asterisk Test that characterizes a hand’s ability to translate an object on a table in eight linear directions using only two fingers. The benchmark is agnostic to the controller, object, and robot hand used. The benchmark also enables a measure of the symmetry (about the plane’s principal axes) of the hand’s ability to maneuver objects. The Asterisk Test’s utility is demonstrated on two common robot hand designs: a parallel jaw gripper and a two-linked, two fingered gripper. The method to analyze the performance data in order to evaluate the hand is also provided. We conclude with a comparison of this benchmark to previous dexterity measures, such as manipulability. We also discuss how improved performance in this benchmark is indicative of simpler hand control.

关键词

Benchmark (surveying)BenchmarkingComputer scienceObject (grammar)GRASPArtificial intelligenceRobotController (irrigation)Table (database)Robot hand

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