Iman Nematollahi

Iman Nematollahi is a PostDoc in Robot Learning at the University of Freiburg under Prof. Dr. Abhinav Valada, having completed his PhD under Prof. Dr. Wolfram Burgard. He holds a MSc in Embedded Systems from the University of Freiburg and a BSc in Electrical Engineering from Shahid Beheshti University. His research focuses on robot learning, world models, and reinforcement learning, particularly in enabling robots to understand physics through world models and adapt skills in unstructured environments.

Education:

• PostDoc in Robot Learning, University of Freiburg (2025–Present)
• PhD in Robot Learning, University of Freiburg (2019–2024)
• MSc in Embedded Systems, University of Freiburg (2015–2018)
• BSc in Electrical Engineering, Shahid Beheshti University (2010–2015)

Research Interests: Robot manipulation, world models, reinforcement learning, computer vision, and self-supervised learning. His work emphasizes intuitive physics understanding, skill generalization, and sample-efficient policy improvement.

Key Articles: Recent work includes LUMOS (language-conditioned imitation learning), Bayesian optimization for policy refinement, and 3D video prediction (T3VIP). These contributions bridge theory and real-world robotic applications, emphasizing long-horizon tasks and cross-environment adaptation.

Awards & Grants: No explicit awards mentioned. His research has been supported through projects like OML (Organic Machine Learning).

Teaching: Taught Deep Learning Lab (2020–2022) and Introduction to Mobile Robotics (2019).