The path towards contact-based physical human-robot interaction

被引:0
作者
Farajtabar, Mohammad [1 ]
Charbonneau, Marie [1 ]
机构
[1] Univ Calgary, Dept Mech & Mfg Engn, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada
基金
欧盟地平线“2020”;
关键词
Physical human-robot interaction; Robot safety; Robot sensing systems; Robot learning; Motion planning; Compliant control; Robot ethics; VARIABLE ADMITTANCE CONTROL; FORCE ESTIMATION; IMPEDANCE CONTROL; INDUSTRIAL ROBOT; ARTIFICIAL SKIN; HUMAN INTENTION; DIRECT-DRIVE; SAFETY; MOTION; MANIPULATION;
D O I
10.1016/j.robot.2024.104829
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the advancements in human-robot interaction (HRI), robots are now capable of operating inclose proximity and engaging in physical interactions with humans (pHRI). Likewise, contact-based pHRI is becoming increasingly common as robots are equipped with a range of sensors to perceive human motions. Despite the presence of surveys exploring various aspects of HRI and pHRI, there is presently a gap in comprehensive studies that collect, organize and relate developments across all aspects of contact-based pHRI. It has become challenging to gain a comprehensive understanding of the current state of the field, thoroughly analyze the aspects that have been covered, and identify areas needing further attention. Hence, the present survey. While it includes key developments in pHRI, a particular focus is placed on contact-based interaction, which has numerous applications in industrial, rehabilitation and medical robotics. Across the literature, a common denominator is the importance to establish a safe, compliant and human intention-oriented interaction. This endeavour encompasses aspects of perception, planning and control, and how they work together to enhance safety and reliability. Notably, the survey highlights the application of data-driven techniques: backed by a growing body of literature demonstrating their effectiveness, approaches like reinforcement learning and learning from demonstration have become key to improving robot perception and decision-making within complex and uncertain pHRI scenarios. This survey also stresses how little attention has yet been dedicated to ethical considerations surrounding pHRI, including the development of contact-based pHRI systems that are appropriate for people and society. As the field is yet in its early stage, these observations may help guide future developments and steer research towards the responsible integration of physically interactive robots into workplaces, public spaces, and elements of private life.
引用
收藏
页数:20
相关论文
共 50 条
  • [41] Trajectory Deformations From Physical Human-Robot Interaction
    Losey, Dylan P.
    O'Malley, Marcia K.
    IEEE TRANSACTIONS ON ROBOTICS, 2018, 34 (01) : 126 - 138
  • [42] Calculating the Supplied Energy for Physical Human-Robot Interaction
    Liu, Jian
    Yamada, Yoji
    Akiyama, Yasuhiro
    2021 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SAFETY FOR ROBOTICS (ISR), 2021, : 157 - 160
  • [43] Dual Loop Compliant Control Based on Human Prediction for Physical Human-Robot Interaction
    Li, Kelin
    Chen, Ruishuang
    Nuchkrua, Thanana
    Boon, Sudchai
    2019 58TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2019, : 459 - 464
  • [44] Interact With Me: An Exploratory Study on Interaction Factors for Active Physical Human-Robot Interaction
    Hu, Yue
    Benallegue, Mehdi
    Venture, Gentiane
    Yoshida, Eiichi
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 5 (04): : 6764 - 6771
  • [45] Continuous Critic Learning for Robot Control in Physical Human-Robot Interaction
    Wang, Chen
    Li, Yanan
    Ge, Shuzhi Sam
    Tee, Keng Peng
    Lee, Tong Heng
    2013 13TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2013), 2013, : 833 - 838
  • [46] A New Control Architecture for Physical Human-Robot Interaction Based on Haptic Communication
    Aydin, Yusuf
    Arghavani, Nasser
    Basdogan, Cagatay
    HRI'14: PROCEEDINGS OF THE 2014 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, 2014, : 122 - 123
  • [47] RESEARCH ON HUMAN-ROBOT PHYSICAL INTERACTION CONTROL BASED ON ADAPTIVE IMPEDANCE CONTROL
    Sun, Qing
    Guo, Shuai
    Zhang, Leigang
    Fei, Sixian
    JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY, 2024, 24 (01)
  • [48] Active stability observer using artificial neural network for intuitive physical human-robot interaction
    Sassi, Mohamed Amir
    Otis, Martin J-D
    Campeau-Lecours, Alexandre
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2017, 14 (04): : 1 - 16
  • [49] Role Adaptation of Human-Robot Physical Interaction Based on the Distribution of Learned Belief
    Lu, Weifeng
    Zhao, Longfei
    Hu, Zhe
    Pan, Jia
    INTELLIGENT AUTONOMOUS SYSTEMS 18, VOL 1, IAS18-2023, 2024, 795 : 453 - 465
  • [50] Compliance while resisting: A shear-thickening fluid controller for physical human-robot interaction
    Chen, Lu
    Chen, Lipeng
    Chen, Xiangchi
    Lu, Haojian
    Zheng, Yu
    Wu, Jun
    Wang, Yue
    Zhang, Zhengyou
    Xiong, Rong
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2024, 43 (11) : 1731 - 1769