Smart Robot for Collision Avoidance Using Neural Networks

Collision avoidance is one of the most important aspects of mobile robotics. Without it, robot movement would be very restrictive and fragile. This project proposes robotic vehicle that has an intelligence built in it such that it directs itself whenever an obstacle comes in its path. So, to protect the robot from any physical damages.

   This can be design to build an obstacle avoidance robotic vehicle using IR sensors for its movement. A micro-controller (Arduino) is used to achieve the desired operation. An IR sensor is used to detect any obstacle ahead of it and sends a command to the micro-controller. Depending on the input signal received, the micro-controller redirects the robot to move in an alternate direction by actuating the motors which are interfaced to it through a motor driver.

Keywords: Collision avoidance, Arduino, motor driver.