Multi-robot motion planning for unit discs with revolving areas

被引:3
|
作者
Agarwal, Pankaj K. [1 ]
Geft, Tzvika [2 ]
Halperin, Dan [2 ]
Taylor, Erin [1 ]
机构
[1] Duke Univ, Dept Comp Sci, Durham, NC 27705 USA
[2] Tel Aviv Univ, Sch Comp Sci, Tel Aviv, Israel
基金
以色列科学基金会;
关键词
Motion planning; Computational geometry;
D O I
10.1016/j.comgeo.2023.102019
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We study the problem of motion planning for a collection of n labeled unit disc robots in a polygonal environment. We assume that the robots have revolving areas around their start and final positions: that each start and each final is contained in a radius 2 disc lying in the free space, not necessarily concentric with the start or final position, which is free from other start or final positions. This assumption allows a weakly-monotone motion plan, in which robots move according to an ordering as follows: during the turn of a robot R in the ordering, it moves fully from its start to final position, while other robots do not leave their revolving areas. As R passes through a revolving area, a robot R' that is inside this area may move within the revolving area to avoid a collision. Notwithstanding the existence of a motion plan, we show that minimizing the total traveled distance in this setting, specifically even when the motion plan is restricted to be weakly-monotone, is APX-hard, ruling out any polynomial-time (1 + a)-approximation algorithm. On the positive side, we present the first constant-factor approximation algorithm for computing a feasible weakly-monotone motion plan. The total distance traveled by the robots is within an O (1) factor of that of the optimal motion plan, which need not be weakly monotone. Our algorithm extends to an online setting in which the polygonal environment is fixed but the initial and final positions of robots are specified in an online manner. Finally, we observe that the overhead in the overall cost that we add while editing the paths to avoid robot-robot collision can vary significantly depending on the ordering we chose. Finding the best ordering in this respect is known to be NP-hard, and we provide a polynomial time O (log n log log n)-approximation algorithm for this problem.(c) 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Efficient Multi-Robot Motion Planning for Unlabeled Discs in Simple Polygons
    Adler, Aviv
    de Berg, Mark
    Halperin, Dan
    Solovey, Kiril
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2015, 12 (04) : 1309 - 1317
  • [2] Efficient Multi-robot Motion Planning for Unlabeled Discs in Simple Polygons
    Adler, Aviv
    de Berg, Mark
    Halperin, Dan
    Solovey, Kiril
    ALGORITHMIC FOUNDATIONS OF ROBOTICS XI, 2015, 107 : 1 - 17
  • [3] On the hardness of unlabeled multi-robot motion planning
    Solovey, Kiril
    Halperin, Dan
    ROBOTICS: SCIENCE AND SYSTEMS XI, 2015,
  • [4] Multi-robot motion planning by incremental coordination
    Saha, Mitul
    Isto, Pekka
    2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12, 2006, : 5960 - +
  • [5] Motion planning for multi-robot assembly systems
    Bonert, M
    Shu, LH
    Benhabib, B
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2000, 13 (04) : 301 - 310
  • [6] Pareto optimal multi-robot motion planning
    Zhao, Guoxiang
    Zhu, Minghui
    2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC), 2018, : 4020 - 4025
  • [7] On the hardness of unlabeled multi-robot motion planning
    Solovey, Kiril
    Halperin, Dan
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2016, 35 (14): : 1750 - 1759
  • [8] Multi-Robot Task and Motion Planning With Subtask Dependencies
    Motes, James
    Sandstrom, Read
    Lee, Hannah
    Thomas, Shawna
    Amato, Nancy M.
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 5 (02) : 3338 - 3345
  • [9] k-color multi-robot motion planning
    Solovey, Kiril
    Halperin, Dan
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2014, 33 (01): : 82 - 97
  • [10] Automated planning of motion tasks for multi-robot systems
    Loizou, Savvas G.
    Kyriakopoulos, Kostas J.
    2005 44TH IEEE CONFERENCE ON DECISION AND CONTROL & EUROPEAN CONTROL CONFERENCE, VOLS 1-8, 2005, : 78 - 83