Development of Autonomous Mobile Robot Control System for Changeable Target-of-interest Object Tracking using Specific Vest

被引:0
|
作者
Kwak J. [1 ]
Yang K.-M. [1 ]
Lee J.-W. [1 ]
Koo J. [1 ]
Seo K.-H. [1 ,2 ]
机构
[1] Innovation Lab-Seoul, Korea Institute of Robotics and Technology Convergence (KIRO)
[2] Department of Robot and Smart System Engineering, Kyungpook National University (KNU)
关键词
Autonomous Mobile Robot; Deep Learning; Human Following; Object Tracking;
D O I
10.5302/J.ICROS.2023.23.0006
中图分类号
学科分类号
摘要
To support delivery tasks using autonomous mobile robots (AMRs), an AMR tracks target-of-interest (ToI) objects, such as workers. ToI objects that are tracked using AMRs are specified in advance or through the robot's settings. It is difficult for an object to be directly set as a ToI object. By making an AMR follow a ToI object wearing a specific vest, the object can be set easily. As such, it is essential to develop a ToI object tracking system that can follow a ToI object wearing a specific vest with AMR. This paper proposes a ToI object tracking system using a specific vest to track changeable ToI objects. The proposed system comprises a recognition unit to recognize a ToI object wearing a specific vest and a control unit to control the AMR. The recognition unit tracks the ToI object and estimates its position while the control unit controls the AMR based on the ToI object’s position. The contributions of this paper are as follows. 1) A system that can follow a changeable ToI object is proposed. 2) This tracking system can easily designate and change ToI objects. In the experiment, the proposed system enabled the AMR to track a changeable ToI object. The recognition unit then calculated the position of the ToI object wearing a specific vest, and the control unit calculated a control signal for the AMR to track the ToI object based on its position. © ICROS 2023.
引用
收藏
页码:452 / 457
页数:5
相关论文
共 50 条
  • [1] Deep Learning-based Framework for Changeable Target-of-Interest Object Tracking using AMR
    Kwak J.
    Yang K.-M.
    Koo J.
    Seo K.-H.
    Journal of Institute of Control, Robotics and Systems, 2022, 28 (12): : 1140 - 1146
  • [2] Variance Optimization Based on Guided Anchor Siamese Network for Target-of-interest Object Recognition in Autonomous Mobile Robots
    Jeonghoon Kwak
    Kyon-Mo Yang
    Ye Jun Lee
    Min-Gyu Kim
    Kap-Ho Seo
    International Journal of Control, Automation and Systems, 2023, 21 : 3746 - 3756
  • [3] Variance Optimization Based on Guided Anchor Siamese Network for Target-of-interest Object Recognition in Autonomous Mobile Robots
    Kwak, Jeonghoon
    Yang, Kyon-Mo
    Lee, Ye Jun
    Kim, Min-Gyu
    Seo, Kap-Ho
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2023, 21 (11) : 3746 - 3756
  • [4] Target Tracking Control of a Mobile Robot Using a Brain Limbic System Based Control Strategy
    Kim, Changwon
    Langari, Reza
    2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 5059 - 5064
  • [5] Embedded vision tracking control system for autonomous mobile welding robot
    Yang G.
    Wang Y.
    Wang Z.
    Liu H.
    Xiao G.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2020, 26 (11): : 3049 - 3056
  • [6] Multiple target tracking and forward velocity control for collision avoidance of autonomous mobile robot
    Kim, Sun-do
    Roh, Chi-Won
    Kang, Yeonsik
    Kang, Sung-chul
    Song, Jaebok
    Journal of Institute of Control, Robotics and Systems, 2008, 14 (07) : 635 - 641
  • [7] Cooperative Surveillance System with Fixed Camera Object Localization and Mobile Robot Target Tracking
    Chia, Chih-Chun
    Chan, Wei-Kai
    Chien, Shao-Yi
    ADVANCES IN IMAGE AND VIDEO TECHNOLOGY, PROCEEDINGS, 2009, 5414 : 886 - +
  • [8] CONTROL SYSTEM FOR OBJECT TRANSPORTATION BY A MOBILE ROBOT WITH MANIPULATOR COMBINED WITH MANUAL OPERATION AND AUTONOMOUS CONTROL
    Matsuda, Yoshitaka
    Sato, Yoshitaka
    Sugi, Takenao
    Goto, Satoru
    Egashira, Naruto
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2022, 18 (02): : 621 - 631
  • [9] Model Predictive Control-Based Target Search and Tracking Using Autonomous Mobile Robot with Limited Sensing Domain
    Liu, Chang
    Hedrick, J. Karl
    2017 AMERICAN CONTROL CONFERENCE (ACC), 2017, : 2937 - 2942
  • [10] Fuzzy target tracking control of autonomous mobile robots by using infrared sensors
    Li, THS
    Chang, SJ
    Tong, W
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2004, 12 (04) : 491 - 501