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

被引:1
|
作者
Sankar, Sriramana [1 ]
Cheng, Wen-Yu [2 ]
Zhang, Jinghua [1 ]
Slepyan, Ariel [3 ]
Iskarous, Mark M. [1 ]
Greene, Rebecca J. [3 ]
Debrabander, Rene [1 ]
Chen, Junjun [1 ]
Gupta, Arnav [4 ]
Thakor, Nitish V. [1 ,3 ]
机构
[1] Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD 21218 USA
[2] Florida Atlantic Univ, Dept Elect Engn & Comp Sci, Boca Raton, FL USA
[3] Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD USA
[4] Univ Illinois, Dept Biomed Engn, Chicago, IL USA
来源
SCIENCE ADVANCES | 2025年 / 11卷 / 10期
关键词
SOFT ROBOTIC HAND; SENSOR; ROUGHNESS; DESIGN; CLASSIFICATION; FORCE; MODEL; HARD;
D O I
10.1126/sciadv.adr9300
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:14
相关论文
共 8 条
  • [1] Adaptive Grasping of the Soft Prosthetic Hand via Tactile Feedback
    Lang, Yilin
    Chi, Haozhen
    Zhu, Wenxin
    Ren, Qinyuan
    2022 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2022), 2022, : 666 - 671
  • [2] Neuromorphic Model of Reflex for Realtime Human-Like Compliant Control of Prosthetic Hand
    Niu, Chuanxin M.
    Luo, Qi
    Chou, Chih-hong
    Liu, Jiayue
    Hao, Manzhao
    Lan, Ning
    ANNALS OF BIOMEDICAL ENGINEERING, 2021, 49 (02) : 673 - 688
  • [3] Discrimination of Dynamic Tactile Contact by Temporally Precise Event Sensing in Spiking Neuromorphic Networks
    Lee, Wang Wei
    Kukreja, Sunil L.
    Thakor, Nitish V.
    FRONTIERS IN NEUROSCIENCE, 2017, 11
  • [4] Biomimetic Strategies of Slip Sensing, Perception, and Protection in Prosthetic Hand Grasp
    Xie, Anran
    Zhang, Zhuozhi
    Zhang, Jie
    Li, Tie
    Chen, Weidong
    Patton, James
    Lan, Ning
    BIOMIMETICS, 2024, 9 (12)
  • [5] Capacitive Sensor Combining Proximity and Pressure Sensing for Accurate Grasping of a Prosthetic Hand
    Ge, Chuanyang
    Yang, Bin
    Wu, Luyao
    Duan, Zhan
    Li, Yuyang
    Ren, Xuanyu
    Jiang, Li
    Zhang, Jia
    ACS APPLIED ELECTRONIC MATERIALS, 2022, 4 (02) : 869 - 877
  • [6] Development of robotic hand tactile sensing system for distributed contact force sensing in robotic dexterous multimodal grasping
    Mu, Congcong
    Wang, Yancheng
    Mei, Deqing
    Wang, Shihang
    INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS, 2022, 6 (04) : 760 - 772
  • [7] Development of flexible tactile sensor for the envelop of curved robotic hand finger in grasping force sensing
    Wang, Yancheng
    Ding, Wen
    Mei, Deqing
    MEASUREMENT, 2021, 180
  • [8] Inter-Day Grasping Model Generalization for Prosthetic Hand Using Soft Optical Sensing Sleeve
    Ju, Linhang
    Jia, Hanze
    Feng, Yanggang
    Huang, Yan
    Shi, Yanjun
    Shi, Di
    Shao, Yixin
    Yuan, Fuzhen
    Zhao, Yu
    Ding, Xilun
    Zhang, Wuxiang
    ADVANCED INTELLIGENT SYSTEMS, 2025,