Successfully defended Ph.D. thesis in September 2024 titled 'Generalizable Robotic Imitation Learning: Interactive Learning and Inductive Bias'
Paper 'Deep Metric Imitation Learning for Stable Motion Primitives' accepted by Advanced Intelligent Systems (August 2024)
Paper 'Stable Motion Primitives via Imitation and Contrastive Learning' accepted by IEEE Transactions on Robotics (T-RO) (May 2023)
Awarded DAAD AInet Fellowship (October 2023)
Co-authored paper 'Robotic Packaging Optimization with Reinforcement Learning' accepted at IEEE CASE (May 2023)
Co-authored survey 'Interactive Imitation Learning in Robotics: a Survey' published in Foundations and Trends® in Robotics Journal (August 2022)
Paper 'Visually-Guided Motion Planning for Autonomous Driving from Interactive Demonstrations' accepted by Engineering Applications of Artificial Intelligence (July 2022)
Paper 'Imitation Learning with Inconsistent Demonstrations through Uncertainty-based Data Manipulation' accepted at IEEE ICRA (February 2021)
Paper 'Interactive Learning of Temporal Features for Control' accepted by IEEE Robotics and Automation Magazine (RAM) (March 2020)
Selected for ETH Robotics Summer School (April 2019)