Research Article | | Peer-Reviewed

Research on Safety Control Technology for Dual Robots Based on Kinematic Models

Received: 24 June 2024     Accepted: 22 July 2024     Published: 29 July 2024
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Abstract

The industrial robots play an important role in modern industrial manufacturing processes, and their applications are becoming increasingly widespread, greatly improving manufacturing efficiency and significantly enhancing the digitalization level of the manufacturing industry. Therefore, achieving safe control of multi robot collaborative work is of great significance for the stable and efficient operation of robot systems. This article proposes a dual robot safety control technology based on the kinematic model of industrial robots. Firstly, a mathematical model of the kinematic space of the dual robots is constructed using D-H parameters; Then, use recursive traversal algorithm to calculate the minimum distance between each joint arm of the two robots in real time; Finally, the minimum distance between each joint arm will be calculated and compared with the set safety threshold to achieve real-time assessment and control of collision risk during the movement of the dual robots. A dual robot safety control testing platform was built using two KUKA industrial robots, integrated control software was developed, and relevant algorithms were validated. Through experiments, it was verified that this method can evaluate the collision risk of dual robots in real time during motion and effectively control the collision risk during the motion of dual robots.

Published in Automation, Control and Intelligent Systems (Volume 12, Issue 1)
DOI 10.11648/j.acis.20241201.12
Page(s) 15-21
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Dual Robots, Safety Control, Kinematic Model, Collision Prevention

References
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[4] Wan Yifei, Peng Li. Multi robot path planning based on collaborative multi-objective algorithm [J] Information and Control, 2020,4(02): 139-146.
[5] TANG Bin, WANG Xue-wu, XUE Li-ka, GU Xing-sheng. Dual-Welding Robots Collision-Free Path Planning [J]. Journal of East China University of Science and Technology, 2017, (3): 417-424.
[6] Zhou Fangming, Zhou Tao, Guo Yong, et al. Research on Computer Simulation Technology of Rack Dual Robot Welding Workstation [J]. Welding Machine, 2008, 38(12): 5.
[7] Li Bo, Kong Lingyun, Mao Dongchen, et al. Research on Collaborative Control Path Planning of Dual arm Robots Based on ROS [J]. Electronic Manufacturing, 2024, 32(1): 52-55.
[8] Shen Jie. Collision avoidance path planning for robots in complex dynamic environments [J]. Mechanical Design and Manufacturing, 2017(11): 4.
[9] Zhang Chunliu, Zhang Lijian, Hu Ruiqin, et al. Quality and Safety Management of Industrial Robots in Spacecraft Assembly Applications [J]. Ordnance Automation, 2019, 38(4): 5.
[10] Zhu Hanhua, Zhao Songying, Li Jingshu, etc A Moving Target Tracking Method Based on Monocular Vision [J]. China Navigation, 2017, 40(2): 1-5. National Library of Medicine, “Dinitrogen Tetroxide”.
[11] Li Xianhua, Sun Qing, Zhang Leigang, etc Flexibility analysis of dual arm coordinated operation of service robots [J] Journal of Huazhong University of Science and Technology (Natural Science Edition), 2019(5): 33-38.
[12] Flacco F, Kröger T, Luca A D, et al. A depth space approach to human-robot collision avoidance [J]// IEEE International Conference on Robotics and Automation. IEEE, 2016: 338-345.
[13] Zhang Zehong, Ji Weixi, Xu Jie, et al. A collision prediction method for loading and unloading robots based on vision and sensors [J] Sensors and Microsystems, 2021, 40(03): 44-51.
[14] Zhang Chuntao, Wang Yong, Mu Chunyang, et al., Research on Collision Detection of Machine Manpower/Position Hybrid Control Based on Fast Dynamics Identification [J] Journal of Instrumentation, 2021, 42(06): 161-171.
[15] Lin Yizhong, Yi Yuqing, Qin Qihang, et al. Research on Robot Variable Stiffness Collision Sensor with Inertial Compensation [J]. Machine Tool and Hydraulic, 2023, 51(17): 1-5.
Cite This Article
  • APA Style

    Chen, Q. (2024). Research on Safety Control Technology for Dual Robots Based on Kinematic Models. Automation, Control and Intelligent Systems, 12(1), 15-21. https://doi.org/10.11648/j.acis.20241201.12

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    ACS Style

    Chen, Q. Research on Safety Control Technology for Dual Robots Based on Kinematic Models. Autom. Control Intell. Syst. 2024, 12(1), 15-21. doi: 10.11648/j.acis.20241201.12

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    AMA Style

    Chen Q. Research on Safety Control Technology for Dual Robots Based on Kinematic Models. Autom Control Intell Syst. 2024;12(1):15-21. doi: 10.11648/j.acis.20241201.12

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  • @article{10.11648/j.acis.20241201.12,
      author = {Qiang Chen},
      title = {Research on Safety Control Technology for Dual Robots Based on Kinematic Models
    },
      journal = {Automation, Control and Intelligent Systems},
      volume = {12},
      number = {1},
      pages = {15-21},
      doi = {10.11648/j.acis.20241201.12},
      url = {https://doi.org/10.11648/j.acis.20241201.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20241201.12},
      abstract = {The industrial robots play an important role in modern industrial manufacturing processes, and their applications are becoming increasingly widespread, greatly improving manufacturing efficiency and significantly enhancing the digitalization level of the manufacturing industry. Therefore, achieving safe control of multi robot collaborative work is of great significance for the stable and efficient operation of robot systems. This article proposes a dual robot safety control technology based on the kinematic model of industrial robots. Firstly, a mathematical model of the kinematic space of the dual robots is constructed using D-H parameters; Then, use recursive traversal algorithm to calculate the minimum distance between each joint arm of the two robots in real time; Finally, the minimum distance between each joint arm will be calculated and compared with the set safety threshold to achieve real-time assessment and control of collision risk during the movement of the dual robots. A dual robot safety control testing platform was built using two KUKA industrial robots, integrated control software was developed, and relevant algorithms were validated. Through experiments, it was verified that this method can evaluate the collision risk of dual robots in real time during motion and effectively control the collision risk during the motion of dual robots.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Research on Safety Control Technology for Dual Robots Based on Kinematic Models
    
    AU  - Qiang Chen
    Y1  - 2024/07/29
    PY  - 2024
    N1  - https://doi.org/10.11648/j.acis.20241201.12
    DO  - 10.11648/j.acis.20241201.12
    T2  - Automation, Control and Intelligent Systems
    JF  - Automation, Control and Intelligent Systems
    JO  - Automation, Control and Intelligent Systems
    SP  - 15
    EP  - 21
    PB  - Science Publishing Group
    SN  - 2328-5591
    UR  - https://doi.org/10.11648/j.acis.20241201.12
    AB  - The industrial robots play an important role in modern industrial manufacturing processes, and their applications are becoming increasingly widespread, greatly improving manufacturing efficiency and significantly enhancing the digitalization level of the manufacturing industry. Therefore, achieving safe control of multi robot collaborative work is of great significance for the stable and efficient operation of robot systems. This article proposes a dual robot safety control technology based on the kinematic model of industrial robots. Firstly, a mathematical model of the kinematic space of the dual robots is constructed using D-H parameters; Then, use recursive traversal algorithm to calculate the minimum distance between each joint arm of the two robots in real time; Finally, the minimum distance between each joint arm will be calculated and compared with the set safety threshold to achieve real-time assessment and control of collision risk during the movement of the dual robots. A dual robot safety control testing platform was built using two KUKA industrial robots, integrated control software was developed, and relevant algorithms were validated. Through experiments, it was verified that this method can evaluate the collision risk of dual robots in real time during motion and effectively control the collision risk during the motion of dual robots.
    
    VL  - 12
    IS  - 1
    ER  - 

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Author Information
  • Chengdu Aircraft Industrial (Group) Co., LTD, Chengdu, China; Sichuan Aviation Intelligent Manufacturing Equipment Engineering Technology Research Center, Chengdu, China

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