built by Omar Díaz

Target Environment Locomotion Method
Indoors 4 Wheels
Sensors / Input Devices Actuators / Output Devices
6500 Sonar Ranging Module 310MHz AM Transmitter
5VDC Stepper Motors
Control Method Power Source
Autonomous Battery
CPU Type Operating System
Intel 80x86 N/A
Programming Lanuage Weight
Time to build Cost to build
8 months around $600
URL for more information
It is a RC toy car controlled by a Backpropagation Neural Network installed in a standard personal computer. The car has built on it a little system which main task is to measure distances from objects around the car. This measuresments are done by a Polaroid 6500 Series Sonar Ranging Module and sent back to the computer by a RF transmitter. The information transmitted to the computer is introduced by the parallel port and used as the inputs to the neural network tutor. The outputs or decisions made by the net represent the orientation which the car has to turn to, and is transmitted through the parallel port to the car with the original remote control brought by the toy.

This is a self-oriented system capable of learn about diferent environments.

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