Robotic assembly for tight tolerant cascaded peg-in-hole process with incomplete constraints

被引:7
|
作者
Cheng, Hongtai [1 ]
Liu, Tianzhuo [2 ]
Zhang, Wei [1 ]
Hao, Lina [1 ]
机构
[1] Northeastern Univ, Shenyang, Peoples R China
[2] Northeastern Univ, Sch Mech Engn & Automat, Shenyang, Peoples R China
关键词
Force control; Robotic assembly; Peg-in-hole; OPTIMIZATION;
D O I
10.1108/AA-09-2019-0167
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Purpose Installing a tight tolerant stepped shaft is not a trivial task for an industrial robot. If all peg-hole constraints are complete, the cascaded peg-in-hole task can be simplified into several independent stages and accomplished one by one. However, if some of the constraints are incomplete, the cross stage interference will bring additional difficulties. This paper aims to discuss the cascaded peg-in-hole problem with incomplete constraints. Design/methodology/approach In this paper, the problem is formulated according to geometric parameters of the stepped shaft and completeness of the corresponding hole. The possible jamming type is modeled and analyzed. A contact modeling and control strategy is proposed to compensate the peg postures under incomplete constraints. Findings The above methods are implemented on an experiment platform and the results verify the effectiveness of the proposed robotic assembly strategy. Originality/value Based on force/torque sensor, a hybrid control strategy for incomplete constraints cascaded peg-in-hole assembly problem is proposed.
引用
收藏
页码:769 / 778
页数:10
相关论文
共 50 条
  • [41] Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep-Reinforcement-Learning Approach
    Beltran-Hernandez, Cristian C.
    Petit, Damien
    Ramirez-Alpizar, Ixchel G.
    Harada, Kensuke
    APPLIED SCIENCES-BASEL, 2020, 10 (19): : 1 - 17
  • [42] Towards variable impedance assembly: the VSA peg-in-hole
    Balletti, Leonardo
    Rocchi, Alessio
    Belo, Felipe
    Catalano, Manuel
    Garabini, Manolo
    Grioli, Giorgio
    Bicchi, Antonio
    2012 12TH IEEE-RAS INTERNATIONAL CONFERENCE ON HUMANOID ROBOTS (HUMANOIDS), 2012, : 402 - 408
  • [43] Deep Siamese Neural Network-Driven Model for Robotic Multiple Peg-in-Hole Assembly System
    Chen, Jinlong
    Tang, Wei
    Yang, Minghao
    ELECTRONICS, 2024, 13 (17)
  • [44] Feedback Deep Deterministic Policy Gradient With Fuzzy Reward for Robotic Multiple Peg-in-Hole Assembly Tasks
    Xu, Jing
    Hou, Zhimin
    Wang, Wei
    Xu, Bohao
    Zhang, Kuangen
    Chen, Ken
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (03) : 1658 - 1667
  • [45] TARGET TRACKING ROBOTIC MANIPULATION THEORIES APPLIED TO FORCE/POSITION CONTROL IN PEG-IN-HOLE ASSEMBLY TASKS
    Giblin, D. J.
    Liu, Y.
    Kazerounian, K.
    INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2008, 23 (01): : 49 - 55
  • [46] Target tracking robotic manipulation theories applied to force/position control in peg-in-hole assembly tasks
    Giblin, D.J.
    Liu, Y.
    Kazerounian, K.
    International Journal of Robotics and Automation, 2008, 23 (01): : 49 - 54
  • [47] Sample-Efficiency, Stability and Generalization Analysis for Deep Reinforcement Learning on Robotic Peg-in-Hole Assembly
    Deng, Yuelin
    Hou, Zhimin
    Yang, Wenhao
    Xu, Jing
    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2021, PT II, 2021, 13014 : 393 - 403
  • [48] Position/Force Visual-Sensing-Based Robotic Sheet-Like Peg-in-Hole Assembly
    Chen, Zhong
    Xie, Shengyang
    Zhang, Xianmin
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [49] Knowledge-driven Deep Deterministic Policy Gradient for Robotic Multiple Peg-in-hole Assembly Tasks
    Hou, Zhimin
    Dong, Haiming
    Zhang, Kuangen
    Gao, Quan
    Chen, Ken
    Xu, Jing
    2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2018, : 256 - 261
  • [50] Active 4 DOF Based RCC Wrist using Segmented IPMCs for Robotic Peg-in-hole Assembly
    Jain, R. K.
    Majumder, S.
    Dutta, A.
    2013 PROCEEDINGS OF SICE ANNUAL CONFERENCE (SICE), 2013, : 2625 - 2631