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Ant Robotic Swarm for Visualizing Invisible Hazardous Substances
Centre for Research in Distributed Technologies, University of Bedfordshire, Park Square, Luton, LU1 3JU, UK
School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK
* Author to whom correspondence should be addressed.
Received: 8 November 2012; in revised form: 21 December 2012 / Accepted: 4 January 2013 / Published: 7 January 2013
Abstract: 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.
Keywords: bio-inspiration; ant agents; optimal coverage; pollution monitoring; bacterial foraging
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MDPI and ACS Style
Oyekan, J.; Hu, H. Ant Robotic Swarm for Visualizing Invisible Hazardous Substances. Robotics 2013, 2, 1-18.
Oyekan J, Hu H. Ant Robotic Swarm for Visualizing Invisible Hazardous Substances. Robotics. 2013; 2(1):1-18.
Oyekan, John; Hu, Huosheng. 2013. "Ant Robotic Swarm for Visualizing Invisible Hazardous Substances." Robotics 2, no. 1: 1-18.