Question

I have a robot that I need to write an autonomous program for. The program is to play on this feild: http://www.vexforum.com/wiki/index.php/Gateway.

and pick up the balls and barrels and put them in the cylinders(goals). I have sensors like light detection(best for following white line on ground or keeping track of location by noticing when you cross a white line), ultrasonic sonar, bump sensors, and encoders(count amount of wheel rotations). I want to make a program where the program learns the field and learns how to navigate best with the tasks at hand. I am thinking a neural net is my best choice but I can’t think of what inputs I would use. The main thing is I don’t want scripted paths. I know this is pretty vague but too much detail and no one would read this. Anyone ave any ideas?

Answer 1

You need to use Simultaneous localization and mapping (SLAM)
It is a pretty standard and successful technique for robot localization.