Neurobiological and neurorobotic approaches to control architectures for a humanoid motor system

被引:20
|
作者
Giszter, SF
Moxon, KA
Rybak, IA
Chapin, JK
机构
[1] Med Coll Penn & Hahnemann Univ, Sch Med, Dept Neurobiol & Anat, Philadelphia, PA 19129 USA
[2] Drexel Univ, Sch Biomed Engn Sci & Hlth Syst, Philadelphia, PA 19104 USA
[3] Suny Downstate Med Ctr, Hlth Sci Ctr, Dept Physiol, Brooklyn, NY 11203 USA
基金
美国国家卫生研究院;
关键词
motor primitives; neurorobotics; neuroprosthetics; biomorphic design; biological control;
D O I
10.1016/S0921-8890(01)00159-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the mammalian nervous system, the sensorimotor interface between cortex and spinal cord plays a key role in novel skill formation and motor learning. We seek to understand the principles of motor learning at this interface using a multidisciplinary approach. We believe this approach will prove relevant to the development of biomimetic control architectures for humanoid robots. Learning at this interface requires an understanding of the spinal output structures. Ultimately, these must form the basis of the algorithms needed for adaptive motor learning. These spinal structures interact with descending cortical control to produce accurate limb trajectories, and novel motor behavior. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:219 / 235
页数:17
相关论文
共 50 条
  • [1] Neurorobotic approaches to emulate human motor control with the integration of artificial synapse
    Kim, Seonkwon
    Kim, Seongchan
    Ho, Dong Hae
    Roe, Dong Gue
    Choi, Young Jin
    Kim, Min Je
    Kim, Ui Jin
    Le, Manh Linh
    Kim, Juyoung
    Kim, Se Hyun
    Cho, Jeong Ho
    SCIENCE ADVANCES, 2022, 8 (39)
  • [2] BCI Control System for Humanoid Robot Based on Motor Imaginary
    Wang, Fei
    Zhou, Chucheng
    Hao, Xiang
    Wang, Song
    Yang, Guangda
    2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 5140 - 5143
  • [3] Combining neuroprosthetic and neurorobotic devices to promote motor control re-learning
    Pons, J. L.
    Moreno, J.
    ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE, 2010, 43 : 40 - 40
  • [4] In-Robot Network Architectures for Humanoid Robots With Human Sensor and Motor Functions
    Cui, Chengyu
    Park, Sungkwon
    IEEE ACCESS, 2021, 9 : 89325 - 89335
  • [5] A binocular motor system model for humanoid robotics
    Zhang, Xiaolin
    Gu, Yuzhang
    WMSCI 2005: 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Vol 10, 2005, : 207 - 211
  • [6] Navigation Control of Humanoid Robot Based on Motor Imaginary
    Wang, Fei
    Zhou, Chucheng
    Yang, Guangda
    Hao, Xiang
    Wang, Song
    PROCEEDINGS OF 2013 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT AUTOMATION, 2013, 254 : 721 - 728
  • [7] Soft computing approaches to motion control for humanoid robots
    Kato, S
    Itoh, H
    PROCEEDINGS OF THE 2005 INTERNATIONAL SYMPOSIUM ON MICRO-NANOMECHATRONICS AND HUMAN SCIENCE: FROM MICRO & NANO SCALE SYSTEMS TO ROBOTICS & MECHATRONICS SYSTEMS, 2005, : 47 - 52
  • [8] Multiple Humanoid Cooperative Control System for Heterogeneous Humanoid Team
    Lim, Heonyoung
    Kang, Yeonsik
    Lee, Joongjae
    Kim, Jongwon
    You, Bum-Jae
    2008 17TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1 AND 2, 2008, : 231 - +
  • [9] Neurorobotics approaches to human and humanoid sensorimotor control Foreword
    Mergner, Thomas
    Tahboub, Karim
    JOURNAL OF PHYSIOLOGY-PARIS, 2009, 103 (3-5) : 115 - 118
  • [10] Neurobiological basis of state-dependent control of motor behaviors
    Takakusaki K.
    Saitoh K.
    Nonaka S.
    Okumura T.
    Miyokawa N.
    Koyama Y.
    Sleep and Biological Rhythms, 2006, 4 (2) : 87 - 104