Military Support and Rescue Robot

Rakshana Mohamed Ismail, Senthil Muthukumaraswamy, A. Sasikala

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

In this era of a politically unstable world, there is a growing demand for the use of military robots to aid the soldiers to perform perilous missions. This paper focuses on the design and build of a semi-autonomous, unmanned robotic system used for various military and rescue operations. Dangerous tasks such as bomb disposal, enemy territory surveillance, search and rescue can be efficiently carried out by the MSRR, Military Support and Rescue Robot. This reduces the risk of losing the lives of both soldiers and civilians. With the help of live feed from the wireless camera and data analysis of environmental composition by various sensors, of the area under surveillance, the soldiers can better prepare for their missions. Using Arduino and Zigbee technology, the above-mentioned tasks can be achieved. The different sensors and the robotic arm are connected to the Arduino mega which in turn is connected to the Zigbee. Data transmission and receiving are through Zigbee technology. This prototype design overcomes the weakness of the existing models and thus provides better support for military operations.

Original languageEnglish
Title of host publication2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS)
PublisherIEEE
Pages156-162
Number of pages7
ISBN (Electronic)9781728148762
DOIs
Publication statusPublished - 19 Jun 2020
Event2020 International Conference on Intelligent Computing and Control Systems - Madurai, India
Duration: 13 May 202015 May 2020

Conference

Conference2020 International Conference on Intelligent Computing and Control Systems
Abbreviated titleICICCS 2020
Country/TerritoryIndia
CityMadurai
Period13/05/2015/05/20

Keywords

  • Arduino
  • Military robot
  • Pick and Place Arm
  • Search and Rescue
  • Semi-Autonomous
  • Zigbee.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Management Science and Operations Research
  • Control and Optimization

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