A Low Cost Microcontroller Implementation Of Neural Network Based Hurdle Avoidance Controller For A Car-Like Robot

A Low Cost Microcontroller Implementation of Neural Network Based Hurdle Avoidance Controller for a Car-Like Robot projects main idea is to develop a cost efficient robotic car using micro controller which is used to control hurdles in its travelling path. This project is implemented using multi layer feed forward propagation algorithm.

          In this project we are using six sensors which are placed at all directions of the car this sensors are used to detect the obstacle from all directions and it automatically move away from the obstacle without any manual support, by using the driver motors present in the car moves the car tangentially inorder to reduce the time and also the distance. Here each and every sensor acts as neurons for the detection  of an obstacle. 

SOFTWARE: Embedded ‘C’

TOOLS: Keil uvision, Flash magic.

TARGET DEVICE: Microcontroller

APPLICATIONS:. Using  this technique in cars.

ADVANTAGES: low cost and avoids accidents.

download  A Low Cost Microcontroller Implementation of Neural Network Based Hurdle Avoidance Controller for a Car-Like Robot.

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