ROBOT AUTONOMOUS CAR WITH CRASH PREVENTION SYSTEM

Abstract

Global use of autonomous systems to handle important and nuanced work is increasing. Nonetheless, the
importance of its many potential uses cannot be overstated. In this study, we introduce a system that can
recognise obstacles and steer a robotic lawnmower around them. The components include a gear DC motor, an
Arduino microcontroller, and two sensors (infrared and ultrasonic). The robot's route is monitored by
ultrasonic and infrared sensors that feed signals to a microprocessor. When an obstruction is recognised, the
microcontroller acts to reroute the robot by activating the motors in a different direction. The system has been
evaluated and found to have an accuracy of 85% and a failure probability of 0.15. Finally, an obstacle
detection circuit was built using infrared and ultrasonic sensors modules mounted to the front of the robot to
emit light and sound waves, respectively, at any obstacle; upon receiving a reflection, a low output is sent to the
Arduino microcontroller, which interprets the signal and causes the robot to stop.