Kalman Robot

From Adam Colton
Revision as of 16:43, 4 October 2018 by Adamcolton (talk | contribs)
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A robot that can be taught to navigate a finite space using a Kalman filter. The filter needs to position it in the X,Y axis as well as the X,Y rotation, so 3 dimensions.

Inputs

  • Wheel Encoders
  • GPS
  • Tilt angle (for uneven ground)
  • Wifi signal strength
  • Sonar module

The design will be a tread based robot. The body can be 3D printed. The case will need to be water proof.

The main board will be something like a RasPi. GPIO used to drive the two stepper motors. LiPo batteries. There will be a mating charge station.

Kalman Filter

I'm not sure how represent probabilities for this. I could use a discrete filter.