Polygon formation of multiple nonholonomic mobile robots with double-level-control collision avoidance scheme

被引:5
作者
Widyotriatmo, A. [1 ]
Joelianto, E. [1 ]
Burohman, A. M. [2 ]
Damanik, J. J. [3 ]
Nazaruddin, Y. Y. [1 ]
机构
[1] Inst Teknol Bandung, Fac Ind Technol, Instrumentat & Control Res Grp, Bandung, Indonesia
[2] Univ Groningen, Engn & Technol Inst Groningen, Groningen, Netherlands
[3] Korea Adv Inst Sci & Technol, Aerosp Engn, Daejeon, South Korea
关键词
Artificial potential function; collision avoidance; formation control; multi-robot systems; polygon formation; IMPLEMENTATION; ALGORITHMS; SYSTEMS; DESIGN;
D O I
10.1080/23307706.2022.2064341
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper considers a polygon formation control of multiple robots with nonholonomic constraints enclosing a goal target and double-level-control collision avoidance scheme. Double-level-control scheme consisted of upper-level and lower-level controls are proposed for trajectory generation and tracking control of multi-robot systems. Both upper-level and lower-level controls operate collision avoidance mechanisms based on potential functions. The proposed control scheme guarantees that the group of robots are kept in the polygon formation and driven to a goal, while avoiding collisions during the travel. Moreover, the designed interaction between the upper- and lower-level controls guarantees that the mobile robots are not trapped in local minima or deadlock case. Experiments of the formation of three-robots are conducted to show the performance of the mobile robots in accomplishing a polygon formation while achieving the goal without any collision and no local minima.
引用
收藏
页码:301 / 313
页数:13
相关论文
共 50 条
  • [31] Distributed Cooperative Control of Multiple Nonholonomic Mobile Robots
    Wang, Gang
    Wang, Chaoli
    Du, Qinghui
    Li, Lin
    Dong, Wenjie
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2016, 83 (3-4) : 525 - 541
  • [32] Distributed Cooperative Control of Multiple Nonholonomic Mobile Robots
    Gang Wang
    Chaoli Wang
    Qinghui Du
    Lin Li
    Wenjie Dong
    Journal of Intelligent & Robotic Systems, 2016, 83 : 525 - 541
  • [33] Consensus-based Formation Control for Multiple Nonholonomic Robots
    Bautista-Castillo, Abraham
    Lopez-Franco, Carlos
    Nuno, Emmanuel
    2016 IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING (ROPEC), 2016,
  • [34] Adaptive formation control of nonholonomic multirobot systems with collision avoidance and connectivity maintenance
    Dong, Chao
    Zheng, Bing
    He, Shude
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2024, 55 (11) : 2289 - 2305
  • [35] Formation Control and Trajectory Tracking of Nonholonomic Mobile Robots
    Saradagi, Akshit
    Muralidharan, Vijay
    Krishnan, Vishaal
    Menta, Sandeep
    Mahindrakar, Arun D.
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2018, 26 (06) : 2250 - 2258
  • [36] Robust adaptive formation control and collision avoidance for electrically driven non-holonomic mobile robots
    Park, B. S.
    Park, J. B.
    Choi, Y. H.
    IET CONTROL THEORY AND APPLICATIONS, 2011, 5 (03) : 514 - 522
  • [37] Dynamic Collision Avoidance among Multiple Mobile Robots: A Model Predictive Control Approach
    Mikumo, Ryuhei
    Ichihara, Hiroyuki
    2017 56TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2017, : 1136 - 1137
  • [38] Cellular Automata based Decentralized Cooperative Collision Avoidance Control for Multiple Mobile Robots
    Rodriguez-Seda, Erick J.
    Rico, Catalina K.
    2019 IEEE INTERNATIONAL SYMPOSIUM ON MEASUREMENT AND CONTROL IN ROBOTICS (ISMCR): ROBOTICS FOR THE BENEFIT OF HUMANITY, 2019,
  • [39] AN INTEGRATED COLLISION PREDICTION AND AVOIDANCE SCHEME FOR MOBILE ROBOTS IN NONSTATIONARY ENVIRONMENTS
    KYRIAKOPOULOS, KJ
    SARIDIS, GN
    AUTOMATICA, 1993, 29 (02) : 309 - 322
  • [40] Multiple Marine Vessels Formation Control with Collision Avoidance
    Shi, Quan
    Li, Tieshan
    Li, Jingqi
    Shan, Qihe
    Cao, Yuchi
    Fan, Xiaoqing
    Tang, Shengrui
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 2178 - 2184