Learning Obstacle Avoidance by Example

This video demonstrates learning by example in an artificial neural network that controls the motion of a mobile robot. The robot uses four sonar sensors and three IR sensors to detect the ranges to nearby objects. A remote controller is used to initially record a few passes near some test objects while the robot records the sensor readings and motor control signals. This data is then used to train a 2×7 artificial neural network (2 motors and 7 sensors). Once the network is trained it is used to control the robot without intervention from the operator.

For more information, see http://www.pirobot.org

.

Duration : 0:1:46