I am looking for a way to use the encoder information from the motors that drive the wheels of my robot to map a line circuit. The robot navigates around using a single light sensor following a line and on its second lap I want it to recognize where it is in the circuit. I've read a lot about SLAM but not sure I could implement this with robotc and only the encoder information.
Any help and advice on the best way to tackle this would be greatly appreciated.n
You can use an Odometry model to make a prediction on the movement of your robot. Assuming a vehicle with a preferred forward direction on a plane, you would have (x,y,theta) as your state, and then have a state transition depending on your encoder values. What the function looks like really depends on the configuration of your robot. I remember that Introduction to Autonomous Mobile Robots had a good coverage on the subject. You'll find lots of examples on the net, though. Simultaneous Localization and Mapping (SLAM) would be to use a probabilistic Odometry model, and then perform some correction based on your sensor. At first I thought this wasn't very feasible with your setup, but I actually think it is. Using an Occupancy-Grid based Rao-Blackwellized Particle Filter might give you some good results. I haven't used the CAS Toolbox, but have a look as it seems a good place to start.