期刊论文详细信息
Robotics
Ant Robotic Swarm for Visualizing Invisible Hazardous Substances
John Oyekan1 
[1] Centre for Research in Distributed Technologies, University of Bedfordshire, Park Square, Luton, LU1 3JU, UK
关键词: bio-inspiration;    ant agents;    optimal coverage;    pollution monitoring;    bacterial foraging;   
DOI  :  10.3390/robotics2010001
来源: mdpi
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【 摘 要 】

Inspired by the simplicity of how nature solves its problems, this paper presents a novel approach that would enable a swarm of ant robotic agents (robots with limited sensing, communication, computational and memory resources) form a visual representation of distributed hazardous substances within an environment dominated by diffusion processes using a decentralized approach. Such a visual representation could be very useful in enabling a quicker evacuation of a city’s population affected by such hazardous substances. This is especially true if the ratio of emergency workers to the population number is very small.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.

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