Learning based Estimation & Control

We work on diverse machine learning applications in estimation & control, and control theoretic guarantees of stability, safety & security in learning based control. Our primary research interests in the field of machine learning include the following:

• theoretical guarantees for learning based estimation & control

• reinforcement learning based controller design

• deep learning applications to computer vision assisted estimation & control

Some of our ongoing and past projects can be found below.

1. Stability Guarantee with Reinforcement Learning

2. Machine Learning Architecture for Aircraft Maneuvering

3. Deep Neural Networks for Multi-Object Tracking