Iman Nematollahi
Albert-Ludwigs-Universität Freiburg |
About me
- 01/2024 - 06/2024: Visiting PhD Student at Oxford Robotics Institute, University of Oxford (collaboration with Prof. Ingmar Posner)
- 01/2019 - up to now: PhD student at the Autonomous Intelligent Systems group headed by Prof. Dr. Wolfram Burgard
- 10/2015 - 11/2018: Master of Science in Embedded Systems Engineering, University of Freiburg
- 09/2010 - 05/2015: Bachelor of Science in Electrical Engineering, Shahid Beheshti University
Research Interests
- Robot Learning
- Learning Intuitive Physics
- Self-supervised Learning
Publications
Robotics
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Adrian Röfer, Iman Nematollahi, Tim Welschehold, Wolfram Burgard, Abhinav Valada
NEW: Bayesian Optimization for Sample-Efficient Policy Improvement in Robotic Manipulation
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Abu Dhabi, UAE, 2024
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Iman Nematollahi*, Kirill Yankov*, Wolfram Burgard, Tim Welschehold
Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic Gaussian Mixture Models
International Symposium on Experimental Robotics (ISER), Chiang Mai, Thailand, 2023
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Iman Nematollahi, Erick Rosete-Beas, Seyed Mahdi B. Azad, Raghu Rajan, Frank Hutter, Wolfram Burgard
T3VIP: Transformation-based 3D Video Prediction
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 2022
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Iman Nematollahi*, Erick Rosete-Beas*, Adrian Röfer, Tim Welschehold, Abhinav Valada, Wolfram Burgard
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, USA, 2022
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Iman Nematollahi, Oier Mees, Lukas Hermann, Wolfram Burgard
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020
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Iman Nematollahi, Daniel Kuhner, Tim Welschehold, Wolfram Burgard
Augmenting Action Model Learning by Non-Geometric Features
IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, 2019
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Iman Nematollahi*, Erick Rosete-Beas*, Adrian Röfer, Tim Welschehold, Abhinav Valada, Wolfram Burgard
Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
Workshop on Implicit Representations for Robotic Manipulation at Robotics: Science and Systems (RSS), 2022
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Iman Nematollahi, Erick Rosete-Beas, Seyed Mahdi B. Azad, Raghu Rajan, Frank Hutter, Wolfram Burgard
T3VIP: Transformation-based 3D Video Prediction
Workshop on Scaling Robot Learning at International Conference on Robotics and Automation (ICRA), 2022
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Iman Nematollahi, Oier Mees, Lukas Hermann, Wolfram Burgard
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction
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Workshop on Structured Approaches to Robot Learning for Improved Generalization at Robotics: Science and Systems (RSS), 2020
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Workshop on Machine Learning in Planning and Control of Robot Motion at IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020
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Workshop on Structured Approaches to Robot Learning for Improved Generalization at Robotics: Science and Systems (RSS), 2020
Workshop Papers
Miscellaneous
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Simon Heller, Maria Hügle, Iman Nematollahi, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Joschka Boedecker, Peter Woias
Hardware Implementation of a Performance and Energy-optimized Convolutional Neural Network for Seizure Detection
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, Hawaii, 2018
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Simon Heller, Iman Nematollahi, Soeren Koeble, Peter Woias
Three Channel High Dynamic Current Measurement System for Low Power Systems
In Journal of Physics: Conference Series, vol. 1052, no. 1, p. 012059. IOP Publishing, 2018
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Kiana Farhadyar, Reza Safdari, Ahmad Behpajooh, Iman Nematollahi
Assistive Medication Management System for Users with Visual Impairment
Studies in health technology and informatics, 249, 53-60, 2018
BibTeX
Current Research Projects
Demos, Datasets & Code
- Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic Gaussian Mixture Models
- RGB-D Video Prediction
- Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models
- Unsupervised Structured Dynamics Models from Physical Interaction
Teaching
- Teaching Assistant, Deep Learning Lab, SS 2020, SS 2021, SS 2022
- Teaching Assistant, Introduction to Mobile Robotics, SS 2019
Students (Co-)Supervised
- 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 (together with Baohe Zhang)
- Action-Conditioned Video Prediction with 3D Images, 2021, Bachelor's Thesis of Jens Rahnfeld (together with Oier Mees)
- Towards Unsupervised Scene Decomposition, 2021, Master's Project of Leonhard Sommer (together with Oier Mees)
- Deep Reinforcement Learning for Adapting Dynamical Systems, 2021, Master's Project of Erick Rosete Beas (together with Tim Welschehold)
- Virtual-Reality Data Collection, 2020, Bachelor's Project of Jens Rahnfeld, Julian Weidhase and Alexander Goltz (together with Oier Mees)