Eugenio Chisari
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PhD Student | |
| Postal address: |
Albert-Ludwigs-Universität Freiburg
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| Email: | chisari@cs.uni-freiburg.de | |
| Phone: | +49 761 203-8029 | |
About me
- 09/2020 - current: Ph.D. Student at the Robot Learning, Autonomous Intelligent Systems, and Neurorobotics labs, University of Freiburg
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09/2018 - 08/2020: M.Sc. in Mechanical Engineering with focus
on Robotics, Systems and Control, ETH Zurich
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09/2014 - 08/2018: B.Sc. in Mechanical Engineering with focus
on Robotics, Systems and Control, ETH Zurich
Research Interests
- Perception and Learning for Robotics
- Learning from Human Feedback
- Autonomous Mobile Manipulation
Current Research Projects
Publications
View all my publications on Google Scholar.
2024
- Eugenio Chisari, Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada, "Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching," in Conference on Robot Learning, 2024.
- 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," in IEEE Robotics and Automation Letters, 2024.
2023
- Jan Ole von Hartz, Eugenio Chisari,Tim Welschehold, Wolfram Burgard, Joschka Boedecker, Abhinav Valada, "The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation," in IEEE Robotics and Automation Letters, 2023.
2022
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C. Celemin, R. Pérez-Dattari, E. Chisari, G. Franzese, LS Rosa, R. Prakash, Z. Ajanović, M. Ferraz, A. Valada and J. Kober
"Interactive Imitation Learning in Robotics: A Survey"
Foundations and Trends® in Robotics, 2022
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JO von Hartz, E. Chisari, T Welschehold, A Valada
"Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation"
IEEE International Conference on Robotics and Automation (ICRA) Workshop, Reinforcement Learning for Contact-Rich Manipulation, 2022
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E. Chisari, T Welschehold, J Boedecker, W Burgard, A Valada
"Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation"
IEEE Robotics and Automation Letters (RA-L), 2022
2021
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E. Chisari, A Liniger, A Rupenyan, L Van Gool, J Lygeros
"Learning from Simulation, Racing in Reality"
IEEE International Conference on Robotics and Automation (ICRA), 2021
2020
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J. Kabzan, M. Valls, V. Reijgwart, H. Hendrikx, C. Ehmke, M. Prajapat, A.
Bühler, N. Gosala, M. Gupta, R. Sivanesan, A. Dhall, E. Chisari, N.
Karnchanachari, S. Brits, M. Dangel, I. Sa, R. Dubé, A. Gawel, M. Pfeiffer,
A. Liniger, J. Lygeros, R. Siegwart
"AMZ Driverless: The Full Autonomous Racing System"
Journal of Field Robotics, 2020
2018
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M. Salazar, C. Balerna, E. Chisari, C. Bussi, C. Onder
"Equivalent lap time minimization strategies for a hybrid electric race car"
IEEE Conference on Decision and Control (CDC), Miami Beach, FL, USA, 2018