DEFENCE BOT- A LIVE SURVEILLANCE ROBOT WITH LANDMINE DETECTION ( UGV )

Aim of the project is to Real-time and accurate robot detection is important for defense robots. In the current robot detection methods used by most of the teams consists of some sensors to monitor the data of the particular area. In this paper a novel method is approached , in which the robot will be implanted with a proximity sensor to detect the land mines in the field. Apart from this It will be also having the camera, through which live video surveillance is being done for security purpose without any human intervention. This video can be viewed in an online link. To make the project more efficient Raspberry Processor is being used with a camera interface.A novel technique is presented for organizing swarms of robots into formation utilizing artificial potential fields generated from normal and SIGMOID functions. These functions construct the surface swarm members travel on, controlling the overall swarm geometry and the individual member spacing. Limiting functions are defined to provide tighter swarm control by modifying and adjusting a set of control variables forcing the swarm to behave according to set constraints, formation and member spacing. The swarm function and limiting functions are combined to control swarm formation, orientation, and swarm movement as a whole. Parameters are chosen based on desired formation as well as user defined constraints. This approach compared to others, is simple, computationally efficient, scales well to different swarm sizes, to heterogeneous systems, and to both centralized and decentralized swarm models. Simulation results are presented for a swarm of four and ten particles following circle, ellipse and wedge formations. Experimental results are also included with four unmanned ground vehicles (UGV).
PROJECT PRESENTATION= UGV ( drive.google.c...)
PROJECT REPORT= UGV ( drive.google.c... )