Walk-through programming for robotic manipulators based on admittance control

被引:37
|
作者
Bascetta, Luca [1 ]
Ferretti, Gianni [1 ]
Magnani, Gianantonio [1 ]
Rocco, Paolo [1 ]
机构
[1] Politecn Milan, Dipartimento Elettron Informaz & Bioingn, I-20133 Milan, Italy
关键词
Force control; Control of robotic systems; Haptic interfaces; Man-Machine systems; Automation; COORDINATION;
D O I
10.1017/S0263574713000404
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
The present paper addresses the issues that should be covered in order to develop walk-through programming techniques (i.e. a manual guidance of the robot) in an industrial scenario. First, an exact formulation of the dynamics of the tool the human should feel when interacting with the robot is presented. Then, the paper discusses a way to implement such dynamics on an industrial robot equipped with an open robot control system and a wrist force/torque sensor, as well as the safety issues related to the walk-through programming. In particular, two strategies that make use of admittance control to constrain the robot motion are presented. One slows down the robot when the velocity of the tool centre point exceeds a specified safety limit, the other one limits the robot workspace by way of virtual safety surfaces. Experimental results on a COMAU Smart Six robot are presented, showing the performance of the walk-through programming system endowed with the two proposed safety strategies.
引用
收藏
页码:1143 / 1153
页数:11
相关论文
共 50 条
  • [11] Force and position control of robotic manipulators: An experimental approach
    Baptista, LF
    da Costa, JMGS
    ALGORITHMS AND ARCHITECTURES FOR REAL-TIME CONTROL 2000, 2000, : 27 - 32
  • [12] Fuzzy unidirectional force control of constrained robotic manipulators
    Huang, L
    Ge, SS
    Lee, TH
    FUZZY SETS AND SYSTEMS, 2003, 134 (01) : 135 - 146
  • [13] The Cooperation Control of Multiple Robotic Manipulators with Disturbance Observers
    Deng, Shuming
    Li, Zhijun
    Su, Chun-Yi
    Wang, Min
    2013 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS), 2013, : 112 - 117
  • [14] Robotic Machining: A Force-Control-Based Fast Programming Method
    Ge, Jingguo
    Tan, Fusheng
    Zhang, Hui
    2008 IEEE CONFERENCE ON ROBOTICS, AUTOMATION, AND MECHATRONICS, VOLS 1 AND 2, 2008, : 190 - 195
  • [15] FORCE CONTROL OF HIGH-SPEED, LIGHTWEIGHT ROBOTIC MANIPULATORS
    SU, HJ
    CHOI, BO
    KRISHNAMURTHY, K
    MATHEMATICAL AND COMPUTER MODELLING, 1990, 14 : 474 - 479
  • [16] Decentralised adaptive control of cooperating Robotic manipulators with disturbance observers
    Li, Zhijun
    Deng, Shuming
    Su, Chun-Yi
    Li, Guanglin
    Yu, Zhangguo
    Liu, Yanjun
    Wang, Min
    IET CONTROL THEORY AND APPLICATIONS, 2014, 8 (07) : 515 - 521
  • [17] Meta-Learning-Based Optimal Control for Soft Robotic Manipulators to Interact with Unknown Environments
    Tang, Zhigiang
    Wang, Peiyi
    Xin, Wenci
    Xie, Zhexin
    Kan, Longxin
    Mohanakrishnan, Muralidharan
    Laschi, Cecilia
    2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA, 2023, : 982 - 988
  • [18] A Survey on Control of Hydraulic Robotic Manipulators With Projection to Future Trends
    Mattila, Jouni
    Koivumaki, Janne
    Caldwell, Darwin G.
    Semini, Claudio
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2017, 22 (02) : 669 - 680
  • [19] Force Control of Robotic Manipulators Using a Fuzzy Predictive Approach
    L. F. Baptista
    J. M. Sousa
    J. Sá da Costa
    Journal of Intelligent and Robotic Systems, 2001, 30 : 359 - 376
  • [20] Fuzzy predictive algorithms applied to force control of robotic manipulators
    Sousa, JM
    Baptista, LF
    da Costa, JMGS
    ALGORITHMS AND ARCHITECTURES FOR REAL-TIME CONTROL 2000, 2000, : 81 - 86