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A study on fingertip designs and their influences on performing stable prehension for robot hands

Keung Or, Shu Morikuni, Shun Ogasa, Satoshi Funabashi, Alexander Schmitz, Shigeki Sugano

Year
2016
Citations
6

Abstract

This research aims to clarify and analyze potential factors in fingertip designs and conditions which may affect prehension performances in addition to the control strategy. In this paper, four factors of fingertip designs and conditions are considered: hardness, thickness of the skin, shape and the surface friction condition of the fingertip. Six fingertips were made in order to compare these factors and their influences on grasp stability under different conditions (high and low workload). An evaluation experiment was conducted in order to investigate how the proposed properties affect the grasping performance under different workloads. Results show an unexpected effectiveness of the soft skin grasping performance compared to less deformable materials, even with reduced friction; also the orientation of the fingertips significantly affects the grasping performance in the case of anthropomorphic fingertips. These results can be useful for designing a new robot hand and a control strategy, which can potentially lead to a better stability and efficient performance.

Keywords

GRASPComputer scienceWorkloadStability (learning theory)RobotControl (management)SimulationHuman–computer interactionArtificial intelligenceComputer vision

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