SWARM
Ant Robotic Swarm for Visualizing Invisible Hazardous Substances
John Oyekan, Huosheng Hu
- Year
- 2013
- Citations
- 18
- Access
- Open access
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
Hazardous wasteRepresentation (politics)Swarm behaviourComputer scienceSimplicityPopulationRobotArtificial intelligenceVisualizationDistributed computing
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