• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2020, Vol. 56 ›› Issue (3): 16-30.doi: 10.3901/JME.2020.03.016

• 机器人及机构学 • 上一篇    下一篇

人机安全交互技术研究进展及发展趋势

贾计东1,2, 张明路1   

  1. 1. 河北工业大学机械工程学院 天津 300130;
    2. 机器人技术与系统国家重点实验室(哈尔滨工业大学) 哈尔滨 150006
  • 收稿日期:2019-03-15 修回日期:2019-07-30 出版日期:2020-02-05 发布日期:2020-04-09
  • 通讯作者: 张明路(通信作者),男,1964年出生,博士,教授,博士研究生导师。主要研究方向为机器人技术,智能主体技术及应用。E-mail:zhangml@hebut.edu.cn
  • 作者简介:贾计东,男,1992年出生,博士研究生。主要研究方向为人机共融技术。mail:jiajidong.0724@163.com
  • 基金资助:
    国家重点研发计划(2017YFB1302701)、机器人与系统国家重点实验室(HIT)自行任务(SKLRS201816B)、河北省重点基金(E2018202338)和河北工业大学联合培养(2017GN0008)资助项目。

Research Progress and Development Trend of the Safety of Human-robot Interaction Technology

JIA Jidong1,2, ZHANG Minglu1   

  1. 1. School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130;
    2. State Key Laboratory of Robotics and System(Harbin Institute of Technology), Harbin 150006
  • Received:2019-03-15 Revised:2019-07-30 Online:2020-02-05 Published:2020-04-09

摘要: 人机共融作为未来生活、智能工厂等方面焦点问题,承载着新型工业体系构建以及衡量国家科技创新水平的重担。聚焦人机安全交互关键技术,围绕共融机器人结构设计、柔顺控制、环境感知、行为学习及决策等层面全面总结了当前研究进展,系统梳理了热点难点问题,归纳了现阶段人机安全交互实现方法,并对未来发展航向做出了展望。研究旨在通过抛砖引玉,加深共性关键技术理解,促进相关学科领域全面发展。

关键词: 人机交互, 碰撞检测, 意图识别, 柔顺控制, 运动控制, 安全

Abstract: Human-Robot integration is the focus of future life, smart factories, and so on. It bears the burden of building a new industrial system and measuring the level of national scientific and technological innovation. Focusing on the key technologies of human-computer safety interaction, the current research progress is summarized around the structural design,compliance control,environment perception, behavioral learning and decision-making of the communicator systematically sorted out the hot and difficult issues. The realization of human-computer security interaction at this stage is summarized. The prospects for future development are pointed out. The purpose of this research is to promote the understanding of key technologies in common areas and promote the comprehensive development of related disciplines.

Key words: human-robot interaction, collision detection, intention recognition, compliance control, motion control, safety

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