Conflict free coordinated path planning for multiple robots using a dynamic path modification sequence

被引:42
|
作者
Chiddarwar, Shital S. [1 ]
Babu, N. Ramesh [2 ]
机构
[1] Shri Ramdeobaba Kamla Nehru Engn Coll, Dept Mech Engn, Nagpur, Maharashtra, India
[2] Indian Inst Technol, Dept Mech Engn, Mfg Engn Sect, Madras 600036, Tamil Nadu, India
关键词
Conflict free coordination; Dynamic path modification sequence; Multiple robots; Path planning; Conflict resolution;
D O I
10.1016/j.robot.2011.03.006
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, a practically viable approach for conflict free, coordinated motion planning of multiple robots is proposed. The presented approach is a two phase decoupled method that can provide the desired coordination among the participating robots in offline mode. In the first phase, the collision free path with respect to stationary obstacles for each robot is obtained by employing an A* algorithm. In the second phase, the coordination among multiple robots is achieved by resolving conflicts based on a path modification approach. The paths of conflicting robots are modified based on their position in a dynamically computed path modification sequence (PMS). To assess the effectiveness of the developed methodology, the coordination among robots is also achieved by different strategies such as fixed priority sequence allotment for motion of each robot, reduction in the velocities of joints of the robot, and introduction of delay in starting of each robot. The performance is assessed in terms of the length of path traversed by each robot, time taken by the robot to realize the task and computational time. The effectiveness of the proposed approach for multi-robot motion planning is demonstrated with two case studies that considered the tasks with three and four robots. The results obtained from realistic simulation of multi-robot environment demonstrate that the proposed approach assures rapid, concurrent and conflict free coordinated path planning for multiple robots. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:508 / 518
页数:11
相关论文
共 50 条
  • [21] Configuration space approach for planning feasible collision-free path of coordinated planar robots
    Chien, Y.-P.
    Xue, Q.
    Systems Science, 1992, 18 (04):
  • [22] Complete Coverage Path Planning for Cleaning Task using Multiple Robots
    Lee, Jeong H.
    Choi, Jeong S.
    Lee, Beom H.
    Lee, Kong W.
    2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9, 2009, : 3618 - 3622
  • [23] ON COMPLETENESS OF SCALABLE PATH PLANNING FOR MULTIPLE ROBOTS USING GRAPH WITH CYCLES
    Jo, Hyun-Wook
    Park, Joo-Ho
    Kim, Gwang Tae
    Lim, Jong-Tae
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2013, 9 (10): : 4167 - 4179
  • [24] Cross-area scheduling and conflict-free path planning for multiple robots in non-flat environments
    Yang, Liwei
    Ge, Yun
    Zheng, Yijiang
    Zeng, Haifeng
    EXPERT SYSTEMS WITH APPLICATIONS, 2025, 272
  • [25] Path planning of multiple robots using concurrent algorithm with shared cycles
    Kim, Gwang Tae
    Jo, Hyun-Wook
    Lim, Jong-Tae
    2013 13TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2013), 2013, : 1094 - 1099
  • [26] Collision-free path planning for multiple robots using efficient turn-angle assignment
    Rodriguez, F.
    Diaz-Banez, J. M.
    Fabila-Monroy, R.
    Caraballo, L. E.
    Capitan, J.
    ROBOTICS AND AUTONOMOUS SYSTEMS, 2024, 177
  • [27] Path optimization for terrestrial robots using Homotopy Path Planning Method
    Diaz-Arango, G.
    Sarmiento-Reyes, A.
    Hernandez-Martinez, L.
    Vazquez-Leal, H.
    Lopez-Hernandez, D. D.
    Marin-Hernandez, A.
    2015 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2015, : 2824 - 2827
  • [28] Planning a Robust Path for Mobile Robots in Dynamic Environment
    Naderan-Tahan, Mahmood
    Manzuri-Shalmani, Mohammad Taghi
    2009 14TH INTERNATIONAL COMPUTER CONFERENCE, 2009, : 469 - 475
  • [29] Nonmyopic Adaptive Informative Path Planning for Multiple Robots
    Singh, Amarjeet
    Krause, Andreas
    Kaiser, William J.
    21ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-09), PROCEEDINGS, 2009, : 1843 - 1850
  • [30] Path Planning for Multiple Mobile Robots in Smart Warehouse
    Bolu, Ali
    Korcak, Omer
    2019 IEEE 7TH INTERNATIONAL CONFERENCE ON CONTROL, MECHATRONICS AND AUTOMATION (ICCMA 2019), 2019, : 144 - 150