RH-ECBS:采用区域启发式方法的基于冲突的 MRPP 增强搜索

IF 1.9 4区 计算机科学 Q3 ROBOTICS Robotica Pub Date : 2024-08-27 DOI:10.1017/s0263574724000894
Zhangchao Pan, Runhua Wang, Qingchen Bi, Xuebo Zhang, Jingjin Yu
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引用次数: 0

摘要

本文提出了一种基于冲突搜索和区域划分的新型双层框架,以提高多机器人路径规划的效率。高层以减少冲突和死锁为目标,低层负责实际路径规划。与以往的双层搜索框架不同,这项工作的新颖之处在于:(1)为每个机器人划分规划区域,以减少规划过程中遇到的冲突数量;(2)在 A* 的节点扩展阶段,考虑规划过程中区域内机器人的数量;以及(3)正式证明了所提方法获得解的概率不为零,并在特殊情况下提供了解的上限。与基于冲突的增强搜索法进行的实验比较表明,所提出的方法不仅减少了冲突的数量,还将计算时间缩短了 30% 以上。
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RH-ECBS: enhanced conflict-based search for MRPP with region heuristics
This paper proposes a novel two-layer framework based on conflict-based search and regional divisions to improve the efficiency of multi-robot path planning. The high-level layer targets the reduction of conflicts and deadlocks, while the low-level layer is responsible for actual path planning. Distinct from previous dual-level search frameworks, the novelties of this work are (1) subdivision of planning regions for each robot to decrease the number of conflicts encountered during planning; (2) consideration of the number of robots in the region during planning in the node expansion stage of A*, and (3) formal proof demonstrating the nonzero probability of the proposed method in obtaining a solution, along with providing the upper bound of the solution in a special case. Experimental comparisons with Enhanced Conflict-Based Search demonstrate that the proposed method not only reduces the number of conflicts but also achieves a computation time reduction of over 30%.
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来源期刊
Robotica
Robotica 工程技术-机器人学
CiteScore
4.50
自引率
22.20%
发文量
181
审稿时长
9.9 months
期刊介绍: Robotica is a forum for the multidisciplinary subject of robotics and encourages developments, applications and research in this important field of automation and robotics with regard to industry, health, education and economic and social aspects of relevance. Coverage includes activities in hostile environments, applications in the service and manufacturing industries, biological robotics, dynamics and kinematics involved in robot design and uses, on-line robots, robot task planning, rehabilitation robotics, sensory perception, software in the widest sense, particularly in respect of programming languages and links with CAD/CAM systems, telerobotics and various other areas. In addition, interest is focused on various Artificial Intelligence topics of theoretical and practical interest.
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