Riemannian manifold, Human-Robot Interaction, Optimal Control, Motor-Skill Learning, Task and Motion Planning
An Thai Le
TU Darmstadt, FG IAS,
Hochschulstr. 10, 64289 Darmstadt
Office. Room E325, Building S2|02
Before his Ph.D., An Thai Le have worked in Riemannian manifold and Logic-Geometric Programming applied in real robot systems. His thesis entitled “Learning Task Parametrized Riemannian Motion Policies" was written under the supervision of Dr. Jim Mainprice from Universitaet Stuttgart and Dr. Meng Guo from BCAI. The thesis aims to learn geometric-aware skills that are task-parametrized for reusability under different task conditions and composable with other behavior skills such as collision avoidance.