Iman Nematollahi
Postdoctoral Researcher | ||
Postal address: |
Albert-Ludwigs-Universität Freiburg |
|
Office: | Building 80, Room 00-023 | |
Email: | nematoli@cs.uni-freiburg.de | |
Phone: | +49 761 203-8023 | |
Personal Website: | https://imanema.com | |
About me
- 04/2025 - current: Postdoctoral Researcher at Robot Learning Lab, University of Freiburg
- 01/2024 - 06/2024: Visiting PhD Student at Oxford Robotics Institute, University of Oxford
- 01/2019 - 12/2024: PhD student at Autonomous Intelligent Systems, University of Freiburg
- 10/2015 - 11/2018: M.Sc. in Embedded Systems Engineering, University of Freiburg
- 09/2010 - 05/2015: B.Sc. in Electrical Engineering, Shahid Beheshti University
Research Interests
- World Models
- Reinforcement Learning
- Robotic Manipulation
Publications
- LUMOS: Language-Conditioned Imitation Learning with World Models
Iman Nematollahi, Branton DeMoss, Akshay L Chandra, Nick Hawes, Wolfram Burgard, Ingmar Posner
IEEE ICRA, Atlanta, USA, 2025. [pdf] [website] [video]
- Bayesian Optimization for Sample-Efficient Policy Improvement in Robotic Manipulation
Adrian Röfer, Iman Nematollahi, Tim Welschehold, Wolfram Burgard, Abhinav Valada
IEEE/RSJ IROS, Abu Dhabi, UAE, 2024. [pdf] [website] [video]
- Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic Gaussian Mixture Models
Iman Nematollahi*, Kirill Yankov*, Wolfram Burgard, Tim Welschehold
ISER, Chiang Mai, Thailand, 2023. [pdf] [website] [video]
- T3VIP: Transformation-based 3D Video Prediction
Iman Nematollahi, Erick Rosete-Beas, Seyed Mahdi B. Azad, Raghu Rajan, Frank Hutter, Wolfram Burgard
IEEE/RSJ IROS, Kyoto, Japan, 2022. [pdf] [website] [video] - Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
Iman Nematollahi*, Erick Rosete-Beas*, Adrian Röfer, Tim Welschehold, Abhinav Valada, Wolfram Burgard
IEEE ICRA, Philadelphia, USA, 2022. [pdf] [website] [video]
Teaching
- TA, Deep Learning Lab, University of Freiburg, SS 2020, SS 2021, SS 2022, SS 2023
- TA, Introduction to Mobile Robotics, University of Freiburg, SS 2019
Past Students
- Fine-Tuning Diffusion Policies with World Models, 2025, Master's Thesis of Akshay L Chandra
- Transfer Robot Skills in Reinforcement Learning by Learning Keypoints, 2023, Master's Thesis of Kirill Yankov
- Task-Agnostic State Value for Visual Planning in 3D World Models, 2022, Master's Thesis of Seyed Mahdi B. Azad
- Action-Conditioned Video Prediction with 3D Images, 2021, Bachelor's Thesis of Jens Rahnfeld
- Towards Unsupervised Scene Decomposition, 2021, Master's Project of Leonhard Sommer
- Deep Reinforcement Learning for Adapting Dynamical Systems, 2021, Master's Project of Erick Rosete Beas