In Spring Semester 2019 I taught the following courses:
I have reformatted 4 lectures on polynomial optimization for control (moment and sum-of-squares methods) into stand-alone material. These were originally taught as the final part of Advanced Topics in Control in Spring Semester 2019.
- Lecture 1 – The Moment-Sum-of-Squares Hierarchy
- Lecture 2 – Sum-of-Squares Lyapunov Methods
- Lecture 3 – Polynomial Methods for Robotics
- Lecture 4 – Robust Motion Planning using SOS Methods
In Spring Semester 2017 I taught part of the graduate course Game Theory and Control.
I am supervising or co-supervising the student projects listed below. I also welcome speculative applications from students with excellent track records, depending on current supervision commitments.
New projects listed summer 2019:
- Fast C++ sum of squares optimization toolbox (TAKEN)
- Real-time Artificial Intelligence for a robot billiard player (TAKEN)
- Spin shots for a robotic billiard player (TAKEN)
- Machine learning of billiard ball dynamics (TAKEN)
- Convolutional neural networks for billiard state estimation (AVAILABLE)
Current and recent projects: