康复机器人与智能辅助系统的研究进展

侯增广; 赵新刚; 程龙; 王启宁; 王卫群

doi:10.16383/j.aas.2016.y000006

康复机器人与智能辅助系统的研究进展

doi: 10.16383/j.aas.2016.y000006

侯增广^1,2,3, ,,
赵新刚^4,,
程龙^1,3,,
王启宁^5,,
王卫群^1,

1.
中国科学院自动化研究所复杂系统管理与控制国家重点实验室北京 100190
2.
中国科学院脑科学与智能技术卓越创新中心北京 100190
3.
中国科学院大学北京 100049
4.
中国科学院沈阳自动化研究所机器人学国家重点实验室沈阳 110016
5.
北京大学工学院北京大学工程科学与新兴技术高精尖创新中心北京 100871

详细信息

作者简介:
赵新刚中国科学院沈阳自动化研究所机器人学国家重点实验室研究员.主要研究方向为机器人控制, 智能系统与康复机器人.E-mail:zhaoxingang@sia.cn

程龙中国科学院自动化研究所复杂系统管理与控制国家重点实验室研究员.主要研究方向为机器人系统的智能控制.E-mail:long.cheng@ia.ac.cn

王启宁北京大学工学院研究员.2009年获得北京大学力学系博士学位.主要研究方向为智能机器人, 康复工程.E-mail:qiningwang@pku.edu.cn

王卫群中国科学院自动化研究所复杂系统管理与控制国家重点实验室副研究员.主要研究方向为康复机器人, 人机动力学, 人机交互控制, 生理电信号处理.E-mail:weiqun.wang@ia.ac.cn

通讯作者:
侯增广中国科学院自动化研究所复杂系统管理与控制国家重点实验室研究员.主要研究方向为机器人与智能系统, 康复机器人与微创介入手术机器人. E-mail:zengguang.hou@ia.ac.cn

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出版历程
- 收稿日期: 2016-11-17
- 刊出日期: 2016-12-01

Recent Advances in Rehabilitation Robots and Intelligent Assistance Systems

HOU Zeng-Guang^{1,2,3
, ,},
ZHAO Xin-Gang^4
,,
CHENG Long^{1,3
,},
WANG Qi-Ning^5
,,
WANG Wei-Qun^1
,

1.
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190
2.
CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Beijing 100190
3.
University of Chinese Academy of Sciences, Beijing 100049
4.
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016
5.
College of Engineering, Beijing Innovation Center for Engineering Science and Advanced Technology (BIC-ESAT), Peking University, Beijing 100871

More Information

Author Bio:
Professor at State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences. His research interest covers robot control, intelligent systems and rehabilitation robots

Professor at the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences. His main research interest is intelligent robotic control

Professor at the College of Engineering, Peking University. He received his Ph. D. degree from Peking University in 2009. His research interest covers robotics and rehabilitation engineering

Associate professor at the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences. His research interest covers rehabilitation robot, dynamics of human-robot system, human-robot interaction control, and biomedical signal processing

Corresponding author: HOU Zeng-Guang Professor at the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences. His research interest covers intelligent robotic systems, rehabilitation and surgery robots

摘要

摘要: 我国正面临日益严重的老龄化问题和数量庞大的残疾人群，康复机器人与智能辅助系统的研究开发和应用有望为解决养老、失能辅助和康复问题提供部分技术手段.康复机器人与智能辅助系统涉及医学、信息、机械、电子、材料、力学等多个学科领域，其研究与开发也面临诸多挑战和困难，本文从“康复机器人及多种康复训练模式”、“智能辅助系统与生机电技术”、“康复与辅助相关的多模态传感与控制方法”、“外骨骼和可穿戴系统、智能假肢与人机安全性”等方面介绍和讨论康复机器人和智能辅助系统的问题和研究进展，以期为未来康复机器人和智能辅助系统的研究与开发提供些许借鉴.
- 康复机器人 /
- 智能辅助系统 /
- 外骨骼 /
- 可穿戴系统 /
- 智能假肢 /
- 康复训练 /
- 多模态传感 /
- 人机交互 /
- 生机电技术 /
- 人机安全性
Abstract: We are facing serious issues of an increasingly aging population and a huge number of disabled people. The research and applications of rehabilitation robots and intelligent assistance systems would provide potential solutions to the elderly and disabled people with efficient care, assistance and rehabilitation methods and tools. The design and implementation of rehabilitation robots and intelligent assistance systems require the multidisciplinary knowledge, such as medical science, information technology, mechanical engineering, material science and mechatronics, and face many challenges and difficulties. To help the interested researchers have an overview of this promising area, this paper reviews the recent advances in rehabilitation robots and intelligent assistance systems in the following aspects:rehabilitation robots and multi-mode rehabilitation training methods; intelligent assistance systems and bio-electro-mechanical systems; multi-mode sensing and control methods in the rehabilitation robots and assistance systems, and exoskeleton and wearable systems, intelligent prosthesis and human-machine safety.
- Rehabilitation robot /
- intelligent assistance system /
- exoskeleton /
- wearable system /
- intelligent prosthesis /
- rehabilitation training /
- multi-mode sensing /
- human-machine interaction /
- bio-electro-mechanical system /
- human-machine safety

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康复机器人与智能辅助系统的研究进展

doi: 10.16383/j.aas.2016.y000006

通讯作者:
侯增广中国科学院自动化研究所复杂系统管理与控制国家重点实验室研究员.主要研究方向为机器人与智能系统, 康复机器人与微创介入手术机器人. E-mail:zengguang.hou@ia.ac.cn

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Recent Advances in Rehabilitation Robots and Intelligent Assistance Systems

Corresponding author: HOU Zeng-Guang Professor at the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences. His research interest covers intelligent robotic systems, rehabilitation and surgery robots

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康复机器人与智能辅助系统的研究进展

doi: 10.16383/j.aas.2016.y000006

通讯作者: 侯增广 中国科学院自动化研究所复杂系统管理与控制国家重点实验室研究员.主要研究方向为机器人与智能系统, 康复机器人与微创介入手术机器人. E-mail:zengguang.hou@ia.ac.cn

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Recent Advances in Rehabilitation Robots and Intelligent Assistance Systems

Corresponding author: HOU Zeng-Guang Professor at the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences. His research interest covers intelligent robotic systems, rehabilitation and surgery robots

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通讯作者:
侯增广中国科学院自动化研究所复杂系统管理与控制国家重点实验室研究员.主要研究方向为机器人与智能系统, 康复机器人与微创介入手术机器人. E-mail:zengguang.hou@ia.ac.cn