# Probabilistic inference methods in robotics-filling the gap between high-level reasoning and low-level motion control

Lecture slides:

- Probabilistic inference methods in robotics
- Robotics
- Outline
- Background: Probabilistic Inference & Planning
- Planning as Likelihood Maximization
- Extensions to POMDPs
- Outline
- Bayesian view on classical control
- Bayesian view
- Same also works for dynamic control...
- Bayesian view
- Motion control
- Example 1
- Example 2
- Summary
- ML approaches for all subproblems?
- Thanks

*Author: Marc Toussaint, Tu Berlin*