Heuristics and Rescheduling in Prioritised Multi-Robot Path Planning: A Literature Review

Author:

Heselden James12ORCID,Das Gautham12ORCID

Affiliation:

1. Lincoln Institute for Agri-Food Technology (LIAT), University of Lincoln, Riseholme Campus, Lincoln LN2 2LG, UK

2. Lincoln Centre for Autonomous Systems (L-CAS), University of Lincoln, Brayford Pool Campus, Lincoln LN6 7TS, UK

Abstract

The benefits of multi-robot systems are substantial, bringing gains in efficiency, quality, and cost, and they are useful in a wide range of environments from warehouse automation, to agriculture and even extend in part to entertainment. In multi-robot system research, the main focus is on ensuring efficient coordination in the operation of the robots, both in task allocation and navigation. However, much of this research seldom strays from the theoretical bounds; there are many reasons for this, with the most-prominent and -impactful being resource limitations. This is especially true for research in areas such as multi-robot path planning (MRPP) and navigation coordination. This is a large issue in practice as many approaches are not designed with meaningful real-world implications in mind and are not scalable to large multi-robot systems. This survey aimed to look into the coordination and path-planning issues and challenges faced when working with multi-robot systems, especially those using a prioritised planning approach, and identify key areas that are not well-explored and the scope of applying existing MRPP approaches to real-world settings.

Funder

Engineering and Physical Sciences Research Council

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering

Reference53 articles.

1. Cooperative Heterogeneous Multi-Robot Systems: A Survey;Rizk;ACM Comput. Surv.,2019

2. Das, G.P., Cielniak, G., From, J., and Hanheide, M. (2018, January 21–25). Discrete Event Simulations for Scalability Analysis of Robotic In-Field Logistics in Agriculture—A Case Study. Proceedings of the ICRA 2018 Workshop on Robotic Vision and Action in Agriculture, Brisbane, Australia.

3. Althoefer, K., Konstantinova, J., and Zhang, K. (2019). Towards Autonomous Robotic Systems, Springer.

4. Agricultural robots for field operations: Concepts and components;Bechar;Biosyst. Eng.,2016

5. Multi-agent systems for search and rescue applications;Drew;Curr. Robot. Rep.,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3