Sensorless Variable Admittance Control for Human-Robot Interaction of a Dual-Arm Social Robot

被引:5
作者
Cho, Jaeuk [1 ]
Choi, Dongwoon [1 ,2 ]
Park, Jong Hyeon [1 ]
机构
[1] Hanyang Univ, Sch Mech Engn, Seoul 04763, South Korea
[2] Korea Inst Ind Technol KITECH, Ansan 426171, South Korea
关键词
Physical human-robot interaction; social robots; variable admittance control; MOTION;
D O I
10.1109/ACCESS.2023.3292933
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
These days, physical human-robot interaction (pHRI) of social robots has received a lot of attention. This paper proposes a method for variable admittance control (VAC) based pHRI to enable social robots to perform various social gestures. The proposed method includes several schemes. Firstly, a scheme to adjust the robot's damping is proposed, which takes into account the external torques exerted by the user and the robot's pose to control movement speed, reflecting the workspaces of both the human and the robot. Secondly, a scheme to change the joint stiffness is proposed, considering the reference angle and the external forces from the user to generate active motions for cooperative pHRI. Additionally, a scheme to change the robot reference point is proposed, which adjusts based on the user's external forces and the robot's posture for pHRI in various situations. The proposed methods are implemented with a dual-arm social robot. To realize pHRI based on the proposed schemes, a generalized momentum-based disturbance observer, one of the sensorless disturbance observers, is employed to estimate the exerted torque. To verify the performance of the proposed methods, experiments are carried out for handshaking and hugging.
引用
收藏
页码:69366 / 69377
页数:12
相关论文
共 34 条
  • [1] The Six Hug Commandments: Design and Evaluation of a Human-Sized Hugging Robot with Visual and Haptic Perception
    Block, Alexis E.
    Christen, Sammy
    Gassert, Roger
    Hilliges, Otmar
    Kuchenbecker, Katherine J.
    [J]. 2021 16TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI, 2021, : 380 - 388
  • [2] Learning variable impedance control
    Buchli, Jonas
    Stulp, Freek
    Theodorou, Evangelos
    Schaal, Stefan
    [J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2011, 30 (07) : 820 - 833
  • [3] Guidelines for Robot-to-Human Handshake From the Movement Nuances in Human-to-Human Handshake
    Cabibihan, John-John
    El-Noamany, Ahmed
    Ragab, Abdelrahman Mohamed
    Ang, Marcelo H., Jr.
    [J]. FRONTIERS IN ROBOTICS AND AI, 2022, 9
  • [4] Variable viscoelasticity handshake manipulator for physical human-robot interaction using artificial muscle and MR brake
    Dai, Kejia
    Liu, Yage
    Okui, Manabu
    Yamada, Yasuyuki
    Nakamura, Taro
    [J]. SMART MATERIALS AND STRUCTURES, 2019, 28 (06)
  • [5] Socially intelligent robots: dimensions of human-robot interaction
    Dautenhahn, Kerstin
    [J]. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2007, 362 (1480) : 679 - 704
  • [6] An overview of current technologies and emerging trends in factory automation
    Dotoli, Mariagrazia
    Fay, Alexander
    Miskowicz, Marek
    Seatzu, Carla
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2019, 57 (15-16) : 5047 - 5067
  • [7] Adaptive variable impedance control for dynamic contact force tracking in uncertain environment
    Duan Jinjun
    Gan Yahui
    Chen Ming
    Dai Xianzhong
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2018, 102 : 54 - 65
  • [8] Investigation of human-robot interaction stability using lyapunov theory
    Duchaine, Vincent
    Gosselin, Clement M.
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-9, 2008, : 2189 - 2194
  • [9] Parameter identification for industrial robots with a fast and robust trajectory design approach
    Jin, Jingfu
    Gans, Nicholas
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2015, 31 : 21 - 29
  • [10] Jindai M., 2016, P INT C DES MECH MAT