Kalman Robot: Difference between revisions
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== Kalman Filter == | == Kalman Filter == | ||
The filter needs to be trainable so that it can learn about it's environment. | |||
A good upgrade would be the ability to look for measurements that are no longer accurate and update them. | |||
Revision as of 16:48, 4 October 2018
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
- Accelerometer
- 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
The filter needs to be trainable so that it can learn about it's environment.
A good upgrade would be the ability to look for measurements that are no longer accurate and update them.