期刊
ROBOTICS AND AUTONOMOUS SYSTEMS
卷 91, 期 -, 页码 83-100出版社
ELSEVIER
DOI: 10.1016/j.robot.2016.12.006
关键词
Multi-robot systems; Bio-inspired approaches; Pattern formation; Self-organising systems; Swarm robotics
资金
- European Commission 7th Framework Program, SWARM-ORGAN [601062]
- Core Technology Development for Automatic Flight of Insect-mimicking Subminiature Drone under 15 cm/20g - Ministry of Trade, industry Energy, Korea [10062327]
- Korea Evaluation Institute of Industrial Technology (KEIT) [10062327] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Self-organised emergent patterns can be widely seen in natural and man-made complex systems generated by interactions among local components without external or global control. This paper presents a survey of recent research advances in self-organising pattern formation in mobile multi-robot (or swarm robotic) systems. Relevant pattern formation methods are reviewed with a special focus on biologically inspired self-organising approaches inspired from macroscopic collective behaviours or microscopic multicellular developing mechanisms. As the ultimate goal of this review is to provide insight into pattern formation using real robots, limitations and considerations on dealing with a large number of robots are discussed. In addition, guided self-organisation is also discussed as a design strategy where the swarm robotic system may be endowed with local rules for generating desired global patterns. (C) 2017 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据