A Path Planning Strategy for Multi-Robot Moving with Path-Priority Order Based on a Generalized Voronoi Diagram

被引:32
|
作者
Huang, Sheng-Kai [1 ]
Wang, Wen-June [1 ]
Sun, Chung-Hsun [2 ]
机构
[1] Natl Cent Univ, Dept Elect Engn, Taoyuan 320, Taiwan
[2] Natl Kaohsiung Univ Sci & Technol, Dept Elect Engn, Kaohsiung 807, Taiwan
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 20期
关键词
Voronoi diagram; Dijkstra algorithm; multi-robot path planning; collision-free; path-priority order; MOBILE ROBOT; ALGORITHM; MOTION;
D O I
10.3390/app11209650
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Featured Application</p> This study proposes a new path planning method called the navigation strategy with path priority for multiple robots moving. It also completely designs the robot's action strategy. The proposed study is suitable for handling or moving more than one robot in a trackless factory environment.</p> This paper proposes a new path planning strategy called the navigation strategy with path priority (NSPP) for multiple robots moving in a large flat space. In the space, there may be some static or/and dynamic obstacles. Suppose we have the path-priority order for each robot, then this article aims to find an efficient path for each robot from its starting point to its target point without any collision. Here, a generalized Voronoi diagram (GVD) is used to perform the map division based on each robot's path-priority order, and the proposed NSPP is used to do the path planning for the robots in the space. This NSPP can be applied to any number of robots. At last, there are several simulations with a different number of robots in a circular or rectangular space to be shown that the proposed method can complete the task effectively and has better performance in average trajectory length than those by using the benchmark methods of the shortest distance algorithm (SDA) and reciprocal orientation algorithm (ROA).</p>
引用
收藏
页数:17
相关论文
共 50 条
  • [31] A complete multi-robot path-planning algorithm
    Alotaibi, Ebtehal Turki Saho
    Al-Rawi, Hisham
    AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2018, 32 (05) : 693 - 740
  • [32] Exploiting subgraph structure in multi-robot path planning
    Ryan, Malcolm R.K.
    Journal of Artificial Intelligence Research, 1600, 31 : 497 - 542
  • [33] Genetic algorithm based path planning of coordinated multi-robot manipulators
    Gao, S
    Zhao, J
    Cai, H
    2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT SYSTEMS AND SIGNAL PROCESSING, VOLS 1 AND 2, PROCEEDINGS, 2003, : 763 - 767
  • [34] CONTINUOUS PATH PLANNING FOR MULTI-ROBOT IN INTELLIGENT WAREHOUSE
    Shen, G. C.
    Liu, J.
    Ding, Y. L.
    Zhang, C.
    Duo, J. Y.
    INTERNATIONAL JOURNAL OF SIMULATION MODELLING, 2024, 23 (02)
  • [35] Path Planning for Unified Scheduling of Multi-Robot Based on BSO Algorithm
    Qiu, Guangping
    Li, Jincan
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2024, 33 (07)
  • [36] Multi-robot Path Planning Using Petri Nets
    Zhang, Hongbin
    Luo, Jiliang
    Long, Jinjun
    Huang, Yisheng
    Wu, Weimin
    VERIFICATION AND EVALUATION OF COMPUTER AND COMMUNICATION SYSTEMS, VECOS 2020, 2020, 12519 : 15 - 26
  • [37] Exploiting subgraph structure in multi-robot path planning
    Ryan, Malcolm R. K.
    JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2008, 31 : 497 - 542
  • [38] Multi-Robot Path Planning Based on Improved D* Lite Algorithm
    Peng, Jung-Hao
    Li, I-Hsum
    Chien, Yi-Hsing
    Hsu, Chen-Chien
    Wang, Wei-Yen
    2015 IEEE 12TH INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2015, : 350 - 353
  • [39] Heterogeneous Multi-Robot Path Planning Based on Probabilistic Motion Model
    Hu, Biao
    Wang, Haonan
    Cao, Zhengcai
    2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2020, : 1323 - 1328
  • [40] Efficient and Complete Centralized Multi-Robot Path Planning
    Luna, Ryan
    Bekris, Kostas E.
    2011 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, 2011, : 3268 - 3275