Nick Heppert
PhD Student | ||
Postal address: |
Albert-Ludwigs-Universität Freiburg |
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Office: | 080-01-022 | |
Email: | heppert@cs.uni-freiburg.de | |
Links: |
About me
- 09/2022 - current: Ph.D. Student in the Robot Learning Lab, University of Freiburg
- 05/2022 - 08/2022: Research Intern, Toyota Research Institute (TRI), US
- 04/2021 - 04/2022: Visiting Student in the Interactive Perception and Robot Learning Lab, Stanford University, US
- 08/2019 - 11/2021: M.Sc. in Autonomous Systems, TU Darmstadt, Germany
- 08/2018 - 07/2019: Visiting Exchange Student, KAIST, South Korea
- 01/2018 - 07/2018: Software Development Engineer Intern, Amazon Core AI, Berlin, Germany
- 10/2014 - 12/2017: B.Sc. in Computational Engineering, TU Darmstadt, Germany
Research Interests
- Robot Perception
- Continual and Self-Supervised Learning
- Mobile Manipulation
Current Research Projects
Publications
View all my publications on Google Scholar.
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Nick Heppert, Max Argus, Thomas Brox, Abhinav Valada,
DITTO: Demonstration Imitation by Trajectory Transformation
arXiv preprint: arXiv 2403.15203, 2024
arXiv Website -
Nick Heppert*, Adrian Röfer*, Abdallah Ayman, Eugenio Chisari, Abhinav Valada,
PseudoTouch: Efficiently Imaging the Surface Feel of Objects for Robotic Manipulation.
arXiv preprint: arXiv 2403.15107, 2024
arXiv Website -
Eugenio Chisari, Nick Heppert, Tim Welschehold, Wolfram Burgard, Abhinav Valada
CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation
arXiv preprint: arXiv 2312.08240, 2023
arXiv Website Code -
Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects
2023 IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023.
arXiv Website BibTeX -
Nick Heppert, Toki Migimatsu, Brent Yi, Claire Chen, Jeannette Bohg
Category-Independent Articulated Object Tracking with Factor Graphs
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyoto, Japan, 2022.
arXiv Website Code