Publications: - 'Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations', ICLR 2024; - 'MaIL: Improving Imitation Learning with Selective State Space Models', CoRL 2024.
Research Experience
Position: PhD Student; Work Experience: Before joining the Intelligent Autonomous Systems lab, he completed a thesis titled 'Towards Fusing Point Cloud and Visual Representations for Imitation Learning'.
Education
Degree: Bachelor's and Master's in Computer Science; Institution: Karlsruhe Institute of Technology; Advisors: Xiaogang Jia and Prof. Gerhard Neumann; Time and Field: Completed before pursuing his PhD.
Background
Research Interests: Reinforcement Learning, Imitation Learning, Robotic Manipulation, Perception. Background: Atalay Donat joined the Intelligent Autonomous System lab on April 1st, 2025 as a PhD student, primarily focusing on developing perception-based algorithms for robotic manipulation.