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Swarm based autonomous landmine detecting robots

Rajesh Kannan Megalingam, Deepak Nagalla, Pasumarthi Ravi Kiran, Ravi Teja Geesala, Nigam Katta

Year
2017
Citations
18

Abstract

Recently it has been found out that, at least 60 countries in the world are contaminated by landmines. These landmines have become a growing concern, due to their threat to lives of human and cattle. There are more than 50–100 million landmines still not diffused in more than 50 countries like Egypt, Angola, Iran, Afghanistan, Cambodia, etc. Though several countries have started taking some important measures like funding the demining projects, training people with demining techniques, etc., landmines have become a major threat to the mortals. There are many detection techniques, but most of these involve humans, which in turn creates a great threat to their lives and limbs. The autonomous swarm based landmine detecting robots proposed in this paper involves a swarm of robots that could autonomously detect landmines and share the location to the control station. The algorithm and the theoretical concepts are shaped into a working model. This paper gives the reader a clear picture about how these robots help in demining.

Keywords

RobotSwarm behaviourSwarm roboticsComputer scienceArtificial intelligenceRoboticsComputer security

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