Publication Type : Conference Paper
Publisher : Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017
Source : Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017, Institute of Electrical and Electronics Engineers Inc., p.608-612 (2018)
Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048346001&doi=10.1109%2fICICI.2017.8365205&partnerID=40&md5=cfc75ed93c898907e1c50bb9c72954f2
ISBN : 9781538640319
Keywords : Autonomous, Autonomous swarms, Bombs (ordnance), Control station, Detection techniques, Explosives, Landmine detection, Robots, Saving lives, Swarm Intelligence, Swarm of robots, Swarm robots, Training people
Campus : Amritapuri
School : School of Engineering
Center : Humanitarian Technology (HuT) Labs
Department : Electronics and Communication
Year : 2018
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. © 2017 IEEE.
Cite this Research Publication :
Rajesh Kannan Megalingam, Nagalla, D., Kiran, P. R., Geesala, R. T., and Nigam, K., “Swarm based Autonomous Landmine Detecting Robots”, in Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017, 2018, pp. 608-612.