Kumar, Rahul R. and Jitoko, Peni and Kumar, Sumeet and Pillay, Krishneel and Prakash, Pratish and Sagar, Asneet and Singh, Ram and Mehta, Utkal V.
(2017)
Maze solving robot with automated obstacle avoidance.
Procedia Computer Science, 105
.
pp. 57-61.
ISSN 1877-0509
Abstract
A quick development of innovation moves us to plan the best choice for an accurate mission. Numerous independent automated innovations are
intimated in the lives of individuals making their work much easier. It has been seen that automated vehicles are presented so far, with shrewd
abilities after enormous measures of cash spent yearly on the examination. Here in this paper, autonomous maze solving robot is developed with
independent mapping and localization skill. Firstly, the maze solving vehicle is designed with three infrared sensors of which two is used for wall
detection to avoid collision and the third is for obstacle detection for picking and placing the objects to clear its pathway with the help of robotic
arm. Also, it desires to use robot where an environment unreachable for human. In addition, there are also places where use of robots is the only way to achieve a goal. For this, appropriate placement of sensory devices is very critical. We have successfully implemented a maze solving ability onto the robot so called MazeBot. It has been tested that the robot can solve the maze successfully without any interruption with the walls and the objects. In this design, the accuracy of measurements and the real-time processing allied with minimum processing power are the key components in overall embedded design.
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