Scalable multi-robot formations using local sensing and communication

被引:9
|
作者
Kostelnik, P [1 ]
Samulka, M [1 ]
Jánosík, M [1 ]
机构
[1] Slovak Acad Sci, Inst Informat, Bratislava 84237, Slovakia
关键词
D O I
10.1109/ROMOCO.2002.1177126
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, the solution of multi-robot formation task is presented. All robots use only local sensing and local communication as the additional tool for the whole system performance. We assume the solution to be local, robust to the size of multi-robot team, stable in the case of occurrence of obstacles and able to support many formation shapes. Local inter-robot communication enables the group of robots to organize into formation without need of predetermined positions in the formation. We apply set of social roles that represent the occupation positions in the formations and are dynamically assigned to robots aggregating into the formation using the communication process. The overall algorithm, general strategy, local sensing and communication features are described. The three-layered behavior-based control architecture including social, logical and reactive layer was used. The examples of local formations emergence, dynamic social role assignment, stability in case of occurrence of obstacles are presented.
引用
收藏
页码:319 / 324
页数:6
相关论文
共 50 条
  • [1] Multi-Robot Active Sensing for Bearing Formations
    De Carli, Nicola
    Salaris, Paolo
    Giordano, Paolo Robuffo
    [J]. 2023 INTERNATIONAL SYMPOSIUM ON MULTI-ROBOT AND MULTI-AGENT SYSTEMS, MRS, 2023, : 184 - 190
  • [2] Multi-robot Joint Localization and Target Tracking with Local Sensing and Communication
    Zhu, Pengxiang
    Ren, Wei
    [J]. 2019 AMERICAN CONTROL CONFERENCE (ACC), 2019, : 3261 - 3266
  • [3] A general algorithm for robot formations using local sensing and minimal communication
    Fredslund, J
    Mataric, MJ
    [J]. IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 2002, 18 (05): : 837 - 846
  • [4] Scalable and Convergent Multi-Robot Passive and Active Sensing
    Kosmatopoulos, Elias B.
    Doitsidis, Lefteris
    Aboudolas, Konstantinos
    [J]. 2009 IEEE-RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2009, : 5828 - 5833
  • [5] Multi-Robot Manipulation with no Communication Using Only Local Measurements
    Wang, Zijian
    Schwager, Mac
    [J]. 2015 54TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2015, : 380 - 385
  • [6] A Local Interaction Based Multi-robot Hunting Approach with Sensing and Modest Communication
    Zhang, Wenwen
    Wang, Jing
    Cao, Zhiqiang
    Yuan, Yuan
    Zhou, Chao
    [J]. INTELLIGENT ROBOTICS AND APPLICATIONS, PROCEEDINGS, 2009, 5928 : 90 - +
  • [7] Multi-robot cognitive formations
    Sousa, Miguel
    Monteiro, Sergio
    Machado, Toni
    Erlhagen, Wolfram
    Bicho, Estela
    [J]. 2012 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2012, : 545 - 550
  • [8] Efficient Multi-Robot Formations using Distributed Optimization
    Montijano, Eduardo
    Mosteo, Alejandro R.
    [J]. 2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 6167 - 6172
  • [9] Towards robust multi-robot formations
    Kaminka, Gal A.
    Glick, Ruti
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), VOLS 1-10, 2006, : 582 - +
  • [10] Persistent Multi-robot Formations with Redundancy
    Burns, Alyxander
    Schulze, Bernd
    St John, Audrey
    [J]. DISTRIBUTED AUTONOMOUS ROBOTIC SYSTEMS, 2019, 6 : 133 - 146