Hierarchical Human-Inspired Control Strategies for Prosthetic Hands

被引:13
|
作者
Gentile, Cosimo [1 ,2 ]
Cordella, Francesca [1 ]
Zollo, Loredana [1 ]
机构
[1] Univ Campus Biomed Roma, Unit Adv Robot & Human Ctr Technol, I-00128 Rome, Italy
[2] INAIL Prosthet Ctr, I-40054 Bologna, Italy
关键词
prostheses; prosthetic; hand; human-ispired; control; strategy; level; GRASP MOVEMENT REPRESENTATION; HUMAN ANTERIOR INTRAPARIETAL; GLABROUS SKIN; GRIP FORCE; FUNCTIONAL-ORGANIZATION; MYOELECTRIC PROSTHESES; OBJECT MANIPULATION; CORTICAL CONTROL; PARIETAL CORTEX; INTERNAL-MODELS;
D O I
10.3390/s22072521
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The abilities of the human hand have always fascinated people, and many studies have been devoted to describing and understanding a mechanism so perfect and important for human activities. Hand loss can significantly affect the level of autonomy and the capability of performing the activities of daily life. Although the technological improvements have led to the development of mechanically advanced commercial prostheses, the control strategies are rather simple (proportional or on/off control). The use of these commercial systems is unnatural and not intuitive, and therefore frequently abandoned by amputees. The components of an active prosthetic hand are the mechatronic device, the decoding system of human biological signals into gestures and the control law that translates all the inputs into desired movements. The real challenge is the development of a control law replacing human hand functions. This paper presents a literature review of the control strategies of prosthetics hands with a multiple-layer or hierarchical structure, and points out the main critical aspects of the current solutions, in terms of human's functions replicated with the prosthetic device. The paper finally provides several suggestions for designing a control strategy able to mimic the functions of the human hand.
引用
收藏
页数:23
相关论文
共 50 条
  • [41] A human-inspired object handover controller
    Chan, Wesley P.
    Parker, Chris A. C.
    Van der Loos, H. F. Machiel
    Croft, Elizabeth A.
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2013, 32 (08): : 971 - 983
  • [42] Iterative Learning Control as a Framework for Human-Inspired Control with Bio-mimetic Actuators
    Angelini, Franco
    Bianchi, Matteo
    Garabini, Manolo
    Bicchi, Antonio
    Della Santina, Cosimo
    BIOMIMETIC AND BIOHYBRID SYSTEMS, LIVING MACHINES 2020, 2020, 12413 : 12 - 16
  • [43] Human-inspired robotic grasping of flat objects
    Sarantopoulos, Iason
    Doulgeri, Zoe
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2018, 108 : 179 - 191
  • [44] Human-Inspired Haptic Perception and Control in Robot-Assisted Milling Surgery
    Dai, Yu
    Xue, Yuan
    Zhang, Jianxun
    IEEE TRANSACTIONS ON HAPTICS, 2021, 14 (02) : 359 - 370
  • [45] Human-inspired semantic similarity between sentences
    Ignacio Serrano, J.
    Dolores del Castillo, M.
    Oliva, Jesus
    Raya, Rafael
    BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES, 2015, 12 : 121 - 133
  • [46] Human-inspired features for natural scene classification
    Ali, Mayada M.
    Fayek, Magda B.
    Hemayed, Elsayed E.
    PATTERN RECOGNITION LETTERS, 2013, 34 (13) : 1525 - 1530
  • [47] Multibody model of the human-inspired robot CHARMIE
    Fernando Gonçalves
    Tiago Ribeiro
    A. Fernando Ribeiro
    Gil Lopes
    Paulo Flores
    Multibody System Dynamics, 2024, 60 : 93 - 120
  • [48] Human-Inspired Socially-Aware Interfaces
    Schiller, Dominik
    Weitz, Katharina
    Janowski, Kathrin
    Andre, Elisabeth
    THEORY AND PRACTICE OF NATURAL COMPUTING, TPNC 2019, 2019, 11934 : 41 - 53
  • [49] Human-Inspired Chemical Sensing for Mobile Robots
    Russell, R. Andrew
    2013 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2013, : 5962 - 5967
  • [50] Human-Inspired Robotic Tactile Perception for Fluid
    Wang, Yongyang
    Zhang, Yu
    Xiong, Pengwen
    Zhou, MengChu
    Liao, Junjie
    Song, Aiguo
    IEEE SENSORS JOURNAL, 2024, 24 (14) : 23336 - 23348