International Journal of Robotics and Autonomous Systems ISSN: 3107-7382 (Online)

Authors: Pankaj Shende, Pooja Pathade, Tushar Patil

Abstract: This research focuses on a surveillance mission carried out in an environment by an autonomous mobile robot. The Robert is intended to discover as many invaders as possible during its operation, thanks to its versatility and monitoring capabilities. However, because the robot does not know where and how many environmental intruders are present, it is hard for the robot to estimate an intrusion pattern or discover unknown intruders without the data. This paper addresses the problem of estimating the robot's incursion trend by presenting a novel surveillance strategy. Bayes' rule is primarily utilised for this purpose. This probabilistic technique enables the robot to express invaders based on their probability and frequency of occurrence. In addition to smaller locations, the robot is primarily capable of monitoring places with an infiltration tendency. The efficiency of the proposed strategy for unknown intrusions is demonstrated through simulation studies. Furthermore, the robot's adaptability to various types of infiltration trends is examined using a probabilistic technique.

Keywords: Robot, Surveillance, Bayes’ rule, Intruders, PIR sensor