- Imitation Learning, Riemannian Manifolds, Robot Motion Learning, Variational Inference
- PhD Student
- Group: BCAI Renningen
- hadi beik-mohammadi∂ de bosch com
In 2020, I began my PhD at the Bosch Center for Artificial Intelligence on "Geometric Approaches for Data-efficient Robot Learning." I received my master's degree in "Intelligent Adaptive Systems" from the University of Hamburg. My current research focuses on Riemannian manifold learning for complex robot motion skills.