‘NLP Sampling: Combining MCMC and NLP Methods for Diverse Constrained Sampling’, arXiv preprint, 2024.
Co-authored ‘RHH-LGP: Receding Horizon And Heuristics-Based Logic-Geometric Programming For Task And Motion Planning’, submitted to IEEE/RSJ International Conference.
Background
PhD student in Machine Learning and Robotics at TU Berlin since 2023.
Advised by Marc Toussaint, head of the Learning & Intelligent Systems group at TU Berlin.
Primary research interests focus on developing intelligent systems capable of autonomous discovery and learning from prior experience.
Applications include creative problem solving and robotic manipulation.
Current research topics: Strategy Discovery and Diversity Optimization, Data Generation for Manipulation, and (Evolutionary) Optimization Methods.