Formations of Robotic Swarm: An Artificial Force Based Approach

被引:0
|
作者
Ekanayake, Samitha W. [1 ]
Pathirana, Pubudu N. [1 ]
机构
[1] School of Engineering, Deakin University, Geelong,VIC,3216, Australia
关键词
D O I
10.5772/6770
中图分类号
学科分类号
摘要
引用
收藏
页码:7 / 24
相关论文
共 50 条
  • [1] Formations of Robotic Swarm: An Artificial Force Based Approach
    Ekanayake, Samitha W.
    Pathirana, Pubudu N.
    [J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2010, 7 (03): : 173 - 190
  • [2] Geometric formations in swarm aggregation: An artificial formation force based approach
    Ekanayake, Samitha W.
    Pathirana, Pubudu N.
    [J]. 2007 THIRD INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION FOR SUSTAINABILITY, 2007, : 77 - 82
  • [3] Cooperative Artificial Intelligence for underwater robotic swarm
    Cai, Wenyu
    Liu, Ziqiang
    Zhang, Meiyan
    Wang, Chengcai
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2023, 164
  • [4] Artificial immune-based swarm behaviors of distributed autonomous robotic systems
    Sun, SJ
    Lee, DW
    Sim, KB
    [J]. 2001 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS I-IV, PROCEEDINGS, 2001, : 3993 - 3998
  • [5] An Incremental Approach to an Evolutionary Robotic Swarm
    Kadota, Takaaki
    Yasuda, Toshiyuki
    Matsumura, Yoshiyuki
    Ohkura, Kazuhiro
    [J]. 2012 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 2012, : 458 - 463
  • [6] Probabilistic Communication Based Potential Force for Robot Formations: A Practical Approach
    Mikkelsen, Simon Bjerg
    Jespersen, Rene
    Trung Dung Ngo
    [J]. DISTRIBUTED AUTONOMOUS ROBOTIC SYSTEMS, 2013, 83 : 243 - 253
  • [7] A Novel Approach for Swarm Robotic Target Searches Based on the DPSO Algorithm
    Du, Yanzhi
    [J]. IEEE ACCESS, 2020, 8 : 226484 - 226505
  • [8] Consensus-Based Artificial Potential Field Approach for Swarm
    Machida, Manao
    Ichien, Masumi
    [J]. 2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2021, : 6671 - 6677
  • [9] Extended Artificial Pheromone System for Swarm Robotic Applications
    Na, Seongin
    Raoufi, Mohsen
    Turgut, Ali Emre
    Krajnik, Tomas
    Arvin, Farshad
    [J]. ALIFE 2019: THE 2019 CONFERENCE ON ARTIFICIAL LIFE, 2019, : 608 - 615
  • [10] Robotic hybrid position/force control based on artificial neural network method
    Zheng, Yong
    Chen, Weidong
    [J]. Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology, 27 (01):