A natural biomimetic prosthetic hand with neuromorphic tactile sensing for precise and compliant grasping

The human hand's hybrid structure combines soft and rigid anatomy to provide strength and compliance for versatile object grasping. Tactile sensing by skin mechanoreceptors enables precise and dynamic manipulation. Attempts to replicate the human hand have fallen short of a true biomimetic hybrid robotic hand with tactile sensing. We introduce a natural prosthetic hand composed of soft robotic joints and a rigid endoskeleton with three independent neuromorphic tactile sensing layers inspired by human physiology. Our innovative design capitalizes on the strengths of both soft and rigid robots, enabling the hybrid robotic hand to compliantly grasp numerous everyday objects of varying surface textures, weight, and compliance while differentiating them with 99.69% average classification accuracy. The hybrid robotic hand with multilayered tactile sensing achieved 98.38% average classification accuracy in a texture discrimination task, surpassing soft robotic and rigid prosthetic fingers. Controlled via electromyography, our transformative prosthetic hand allows individuals with upper-limb loss to grasp compliant objects with precise surface texture detection.

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Publication Details

Journal
Science Advances
Published
2025-03-05
DOI
https://doi.org/10.1126/sciadv.adr9300
Citations
54
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
65.58
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article

A natural biomimetic prosthetic hand with neuromorphic tactile sensing for precise and compliant grasping

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54 citations
Science Advances
Robot Manipulation and Learning
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article

A natural biomimetic prosthetic hand with neuromorphic tactile sensing for precise and compliant grasping

Sriramana Sankar, Mark M. Iskarous, Rene DeBrabander, Ariel Slepyan, Rebecca J. Greene, Nitish V. Thakor, Jinghua Zhang, Junjun Chen, Arnav Gupta, Cheng Wenyu
article en
54 citations

Abstract

The human hand's hybrid structure combines soft and rigid anatomy to provide strength and compliance for versatile object grasping. Tactile sensing by skin mechanoreceptors enables precise and dynamic manipulation. Attempts to replicate the human hand have fallen short of a true biomimetic hybrid robotic hand with tactile sensing. We introduce a natural prosthetic hand composed of soft robotic joints and a rigid endoskeleton with three independent neuromorphic tactile sensing layers inspired by human physiology. Our innovative design capitalizes on the strengths of both soft and rigid robots, enabling the hybrid robotic hand to compliantly grasp numerous everyday objects of varying surface textures, weight, and compliance while differentiating them with 99.69% average classification accuracy. The hybrid robotic hand with multilayered tactile sensing achieved 98.38% average classification accuracy in a texture discrimination task, surpassing soft robotic and rigid prosthetic fingers. Controlled via electromyography, our transformative prosthetic hand allows individuals with upper-limb loss to grasp compliant objects with precise surface texture detection.

Science AdvancesVol. 11(10)
Johns Hopkins University (US), University of Illinois Chicago (US), Florida Atlantic University (US)
Openalex Percentile: Top 0%
Robot Manipulation and Learning
65.58
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