An Thai Le

An Thai Le joined the Intelligent Autonomous System lab on November, 1st, 2021 as a PhD student.

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.

Key References

1. An T. Le et al. (2021). Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations, IEEE International Conference on Intelligent Robots and Systems (IROS).
2. An T. Le et al. (2021). Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks, IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).