![]() ![]() The chassis is usually designed to operate like a wheel-chair, with two large drive wheels on either side of a lightweight aluminium frame. The drive system consists of a mechanical chassis, a set of motors, gears and wheels. They are drive system, an array of sensors, and the control system. Here MSR is an electro-mechanical device, typically consisting of three main subsystems. ![]() It competes against other members of its species, racing as fast as it can. Line FollowerĪn MSR (maze solving robot) is a clever little gadget with a silicon brain that finds its way through an arbitrary maze. Ribeiro MI, Lima P (2002) Kinematics models of mobile robots.Coding a line follower using the PID controller, and calibrating the PID constants. Renuka B, Sivaranjani B, Lakshmi AM, Muthukumaran N (2018) Automatic enemy detecting defense robot by using face detection technique. Kulkarni C, Grama S, Suresh PG, Krishna C, Antony J (2014) Surveillance robot using arduino microcontroller, android APIs and the internet. Shaik SM, Sufiyan K, Ali A, Ibrahim M, Bodke K (2015) Wireless video surveillance robot controlled using simple bluetooth android application. Int J Robot Syst 55:403–421Ĭhia CC, Chan WK, Chein SY (2009) Cooperative surveillance system with fixed camera object localization and mobile robot target tracking, vol 5414. Wu X, Gong H, Chen P, Zhong Z, Xu Y (2009) Surveillance robot utilizing video and audio information. Nayyar A, Puri V, Nguyen NG, Le DN (2018) Smart surveillance robot for real-time monitoring and control system in environment and industrial applications. In: AIP conference proceedings 1977, pp 020057-1–020057-8Īnandravisekar G, Clinton AA, Raj TM, Naveen L (2018) IOT based surveillance robot. Adv Intell Syst Comput 274:462–479Īdinandra S, Nofriyudi F, Pratama AW, Ratnawati DA (2018) CEPI: A low cost and open source mobile robot platform for research and education. Lo CW, Wu KL, Lin YC, Liu JS (2014) An intelligent control system for mobile robot navigation task in surveillance. Thus, this robot can be used in domestic or household environments where the user can remotely view any abnormal events or interpretation of human events. The user can control the robot’s action using a mobile phone or laptop through Internet of Things (IoT) and also can view the video information transmitted by the robot using a wi-fi module. Then, it is compared with the performance of the robot developed using Arduino microcontroller and other sensors. Initially, the robot is modeled and simulated using webots robot simulation software and its performance is analyzed. In this paper, we presented a low-cost Smart Reconnaissance Robot (SRR) that is able to wander around an environment, capture images, and perform live streaming of video both in daytime and also at night using a camera deployed on the robot. In order to overcome these drawbacks, surveillance is being replaced by mobile robots. But they do not cover the dead spot areas and also people try to avoid the camera’s sight. Recent approaches in surveillance include the use of static cameras to monitor a particular location. Human surveillance does have limitations as it is difficult for humans to monitor inaccessible areas and also, they get tired. ![]() Mobile robots, now-a-days, are majorly used in various fields such as service robotics, military, education, and surveillance. ![]()
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