运动规划
机器人
计算机科学
稳健性(进化)
可扩展性
路径(计算)
领域(数学)
过程(计算)
能源消耗
控制工程
系统工程
分布式计算
人工智能
工程类
生物化学
化学
数学
数据库
纯数学
电气工程
基因
程序设计语言
操作系统
作者
Nour Ayman Abujabal,Raouf Fareh,Saif Sinan,Mohammed Baziyad,Maâmar Bettayeb
出处
期刊:Robotica
[Cambridge University Press]
日期:2023-03-31
卷期号:41 (7): 2079-2104
被引量:8
标识
DOI:10.1017/s0263574723000322
摘要
Abstract There has been a continuous interest in multi-robot formation systems in the last few years due to several significant advantages such as robustness, scalability, and efficiency. However, multi-robot formation systems suffer from well-known problems such as energy consumption, processing speed, and security. Therefore, developers are continuously researching for optimal solutions that can gather the benefits of multi-robot formation systems while overcoming the possible challenges. A backbone process required by any multi-robot system is path planning. Thus, path planning for multi-robot systems is a recent top research topic. However, the literature lacks a recent comprehensive review of path planning works designed for multi-robot systems. The aim of this review paper is to provide a comprehensive assessment and an insightful look into various path planning techniques developed in multi-robot formation systems, in addition to highlighting the basic problems involved in this field. This will allow the reader to discover the research gaps that must be solved for a better path planning experience for multi-robot formation systems. Finally, an illustrative comparative example is presented at the end of the paper to show the advantages and disadvantages of some popular path planning techniques.
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