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Nick Heppert

PhD Student
Postal address:

Albert-Ludwigs-Universität Freiburg
Technische Fakultät
Robot Learning Lab
Georges-Köhler-Allee 080
D-79110 Freiburg i. Br., Germany

Office: 080-01-022
Email: heppert@cs.uni-freiburg.de
Links:

Google Scholar ORCID Github LinkedIn

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.

  • 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
    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.
    Download 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