René Zurbrügg | ETH Zürich

About Me

I’m a Ph.D. student at the ETH AI Center and part of the Robotic Systems Lab (RSL) and Computer Vision and Geometry Group (CVG). My research interests lie in the intersection of robotics and computer vision, with a focus on manipulation and embodied AI. I am particularly interested in developing data-driven control algorithms that enable robots to learn complex manipulation tasks from raw sensory data. I am also interested in scene understanding and representation learning for robotic perception. I am advised by Prof. Marco Hutter and Prof. Marc Pollefeys.

Research Interests

Robotics: Manipulation, Grasping, Active Perception, Embodied AI
Computer Vision: Scene Understanding Representation Learning
Data Driven Control: Reinfrocement Leraning, Sim-to-Real, Tactile Sensing, Imitation Learning

News

Publications

ICRA

ICGNet: A Unified Approach for Instance-Centric Grasping

René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu

IEEE International Conference on Robotics and Automation (ICRA, 2024)

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ICRA

Chronos and CRS: Design of a miniature car-like robot and a software framework for single and multi-agent robotics and control

Andrea Carron, Sabrina Bodmer, Lukas Vogel, René Zurbrügg, David Helm, Rahel Rickenbach, Simon Muntwiler, Jerome Sieber, Melanie N. Zeilinger

IEEE International Conference on Robotics and Automation (ICRA, 2023)

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RA-L

Embodied active domain adaptation for semantic segmentation via informative path planning

René Zurbrügg, Hermann Blum, Cesar Cadena, Roland Siegwart, Lukas Schmid

IEEE Robotics and Automation Letters (RA-L, 2022)

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CORL

Self-improving Semantic Perception for Indoor Localisation

Hermann Blum, Francesco Milano, René Zurbrügg, Roland Siegwart, Cesar Cadena, Abel Gawel

Conference on Robot Learning (CoRL, 2021)

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