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Providing a visual image of a hazardous substance such as nerve gas or nuclear radiation using multiple robotic agents could be very useful particularly when the substance is invisible. Such visual representation could show where the hazardous substance concentration is highest through the deployment of a higher density of robotic agents to that area enabling humans to avoid such areas. We present...
Inspired by the simplicity of how nature solves its problems, an approach that would enable robotic agents form a visual representation of an invisible hazardous substance is presented. Such an approach would be very useful if emergency services need to systematically and strategically evacuate an area affected by invisible substance especially in a situation where evacuation resources are limited...
Inspired by the simplicity of how nature solves its problems, we develop a flocking controller that would enable the localisation and subsequent mapping of environmental pollutants. Pollutants could range from chemical leaks to invisible air borne harzardous materials. We use simulation results to validate our approach and then briefly discuss how to implement the controller onto a real robotic platform...
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