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
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
  • [1] Bilateral Human-Robot Interaction with Physical Contact
    Leica, Paulo
    Toibero, Juan M.
    Roberti, Flavio
    Carelli, Ricardo
    2013 16TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS (ICAR), 2013,
  • [2] Generating behavioral protocol for human-robot physical-contact interaction
    Imai, M
    Kawasima, H
    Honda, Y
    2005 IEEE INTERNATIONAL WORKSHOP ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN), 2005, : 229 - 234
  • [3] Intention based Control for Physical Human-robot Interaction
    Lyu, Shangke
    Cheah, Chien Chern
    PROCEEDINGS OF 2018 IEEE INTERNATIONAL CONFERENCE ON REAL-TIME COMPUTING AND ROBOTICS (IEEE RCAR), 2018, : 1 - 6
  • [4] Control of Generalized Contact Motion and Force in Physical Human-Robot Interaction
    Magrini, Emanuele
    Flacco, Fabrizio
    De Luca, Alessandro
    2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2015, : 2298 - 2304
  • [5] Human-Robot Proxemics: Physical and Psychological Distancing in Human-Robot Interaction
    Mumm, Jonathan
    Mutlu, Bilge
    PROCEEDINGS OF THE 6TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTIONS (HRI 2011), 2011, : 331 - 338
  • [6] Towards Metareasoning for Human-Robot Interaction
    Chen, Xiaoping
    Sui, Zhiqiang
    Ji, Jianmain
    INTELLIGENT AUTONOMOUS SYSTEMS 12 , VOL 2, 2013, 194 : 355 - 367
  • [7] Towards easier human-robot interaction
    Pieska, Sakari
    Kaarela, Jari
    Saukko, Ossi
    INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS, 2015, 9 (01): : 41 - 53
  • [8] Waypoin s updating based on Adam and ILC for path learning in physical human-robot interaction
    Xia, Jingkang
    Song, Chenjian
    Huang, Deqing
    Xing, Xueyan
    Ma, Lei
    Li, Yanan
    2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 3359 - 3365
  • [9] An atlas of physical human-robot interaction
    De Santis, Agostino
    Siciliano, Bruno
    De Luca, Alessandro
    Bicchi, Antonio
    MECHANISM AND MACHINE THEORY, 2008, 43 (03) : 253 - 270
  • [10] Physical and Social Human-robot Interaction
    Metta, Giorgio
    UMAP'20: PROCEEDINGS OF THE 28TH ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, 2020, : 3 - 3