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Analysis of Searching Task using Chain Method in Swarm Robotics
Sakthivelmurugan. E1, Senthilkumar G2, Ramakrishnan. A3, Selvamuthukumaran. D4

1Sakthivelmurugan. E, Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode (Tamil Nadu), India.
2Senthilkumar G, Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode (Tamil Nadu), India.
3Ramakrishnan. A, Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode (Tamil Nadu), India.
4Selvamuthukumaran. D, Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode (Tamil Nadu), India.
Manuscript received on 10 December 2018 | Revised Manuscript received on 29 December 2018 | Manuscript Published on 09 January 2019 | PP: 66-70 | Volume-7 Issue-4S November 2018 | Retrieval Number: E1871017519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Swarm robotics is an emerging field within collective mobile robotics and largely inspired by studies of insect’s behavior. In defense system swarm robots are highly demanded for dangerous as well as difficult operation such as land mine detection. Land mine detection operation is similar to searching task that identifies the mines and pacifies them. From the literature survey it was found that very least of such type of problem is addressed. This project aims to search the given environment effectively, without missing out any mines; it would be better to form a chain of robots and search the area. Performance measures are affected by various factors like number of robot, area in which robots are working, presence of obstacles, etc., these factors are analyzed by Taguchi experimental design. From the analysis it was identified that speed of the chain, searching area, strategy and the interaction between searching area and strategy area were significantly affecting the performance of chain.
Keywords: Chain Formation, Swarm Robotics, Strategy, Searching Area.
Scope of the Article: Robotics Engineering