Marius Memmel

I am a PhD student at the University of Washington supervised by Prof. Dieter Fox (RSE lab) and Prof. Abhishek Gupta (WEIRD lab).

In 2024, I interned at Bosch USA, Pittsburgh working with Jonathan Francis and Bingqing Chen.

In 2022, I graduated with a Master's in Computer Science from TU Darmstadt, focusing on computer vision and robot learning, and minoring in Entrepreneurship & Innovation.

I was on an exchange at EPFL, where I wrote my thesis at VILAB supervised by Prof. Amir Zamir (and formally Prof. Stefan Roth). I was a student research assistant at the AI&ML Lab of Prof. Kristian Kersting (2020-2021) and MEC-Lab of Dr. Anirban Mukhopadhyay (2020-2021) and collaborated with the IAS group of Prof. Jan Peters (2020-2021). Furthermore, I worked as a part-time Machine Learning Engineer at Sopra Steria SA (2020).

In 2019, I received my Bachelor of Science in Business Information Systems from the Baden-Württemberg Cooperative State University Mannheim (DHBW) and got awarded the Best Graduate Award for my academic achievements. As part of the program, I worked part-time as a Software Engineer at Knauf IT (2016-2019) and took part in an exchange with Appalachian State University (2018).

Email  /  CV  /  Google Scholar  /  Twitter  /  Github  /  LinkedIn

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Research

I'm interested in building visual perception systems that make active agents robust to changes and help them generalize to new environments. I believe the interplay between perceiving the environment and interacting with it is the next step towards creating intelligent, multi-purpose agents. Additional interests include improving exploration in reinforcement learning through intrinsic rewards like, e.g., curiosity. (* equal contribution)

News
  • 08/2024: URDFormer got covered by UW News
  • 07/2024: Talked about ASID and URDFormer on the TWIML Podcast
  • 07/2024: Starting my internship as a Robot Learning Research Intern at Bosch USA, Pittsburgh working with Jonathan Francis and Bingqing Chen
  • 05/2024: URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images has been accepted to RSS 2024
  • 05/2024: DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset has been accepted to RSS 2024
  • 01/2024: TA for CSE478 Fall 2024
  • 01/2024: "ASID: Active Exploration for System Identification in Robotic Manipulation" has been accepted to ICLR 2024 (oral, top 1.2%).
  • 05/2023: "Modality-invariant Visual Odometry for Embodied Vision" has been accepted to CVPR 2023.
  • 03/2022: "Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations" has been accepted to CVPR 2022.
  • 01/2022: "Dimensionality Reduction and Prioritized Exploration for Policy Search" has been accepted to AISTATS 2022.
Research

Conference papers, workshop papers, and pre-prints.

STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning
Marius Memmel*, Jacob Berg*, Bingqing Chen, Abhishek Gupta†, Jonathan Francis
pre-print

paper    website   

URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images
Zoey Chen, Aaron Walsman, Marius Memmel, Kaichun Mo, Alex Fang, Dieter Fox*, Abhishek Gupta*
Robotics: Science and Systems (RSS), 2024

paper    website    code   

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Alexander Khazatsky*, Karl Pertsch*, Suraj Nair, ..., Marius Memmel, ..., Thomas Kollar, Sergey Levine, Chelsea Finn
Robotics: Science and Systems (RSS), 2024

arxiv    website   

ASID: Active Exploration for System Identification in Robotic Manipulation
Marius Memmel, Andrew Wagenmaker, Chuning Zhu, Patrick Yin, Dieter Fox, Abhishek Gupta
Conference on Learning Representations (ICLR), 2024 (Oral Presentation, top 1.2%)

paper    arxiv    website    code   

Modality-invariant Visual Odometry for Embodied Vision
Marius Memmel, Roman Bachmann, Amir Zamir
Conference on Computer Vision and Pattern Recognition (CVPR), 2023

paper    arxiv    website    poster    code   

Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations
Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting
Conference on Computer Vision and Pattern Recognition (CVPR), 2022

paper    arxiv    code   

Dimensionality Reduction and Prioritized Exploration for Policy Search
Marius Memmel, Puze Liu, Davide Tateo, Jan Peters
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022

paper    arxiv    code    poster   
Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation
Marius Memmel, Camila Gonzalez, Anirban Mukhopadhyay
Domain Adaptation and Representation Transfer (DART) at Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021

paper    arxiv    code    poster    video   
Honors & Awards
  • 2022: European Informatics Student Award: "An incentive for the brightest European students to experience the University of Washington and the Pacific Northwest."
  • 2019-2020: Deutschlandstipendium: Merit-based scholarship given to less than 1% of all students in Germany
  • 2019: Best Graduate: Award for the best graduate of Business Information Systems (Software Engineering) at DHBW
  • 2018: Baden-Württemberg-Stipendium: given to 1500 high-achieving students/year to promote exchange

Design and source code from Jon Barron's website.