Hanzhi photo
Hanzhi CHEN
PhD Student
Mobile Robotics Lab, TU Munich & ETH Zurich
Contact Info
Brief Bio
I am a PhD student in the Mobile Robotics Lab of TU Munich & ETH Zurich with Prof. Stefan Leutenegger and Dr. Helen Oleynikova.
Previously, I received my M.Sc. degree in Robotics, Cognition, Intelligence with high distinction from Technical University of Munich. Most of my research during my master study is done at CAMP advised by Dr. Fabian Manhardt, Prof. Benjamin Busam, and Prof. Nassir Navab.
PUBLICATIONS

(* and † indicate equal first authorship or equal last authorship.)

FrontierNet: Learning Visual Cues to Explore
Boyang Sun, Hanzhi Chen, Stefan Leutenegger, Cesar Cadena, Marc Pollefeys, Hermann Blum
RA-L 2025
project page / paper / video / code

We propose a color-only frontier-based system for efficient exploration, with FrontierNet as a core module to predict frontiers and information gain.

VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic Manipulation
Hanzhi Chen, Boyang Sun, Anran Zhang, Marc Pollefeys, Stefan Leutenegger
CVPR 2025, Oral at EgoVis Workshop
project page / paper / video / code

We present a framework to learn 3D affordance from in-the-wild human videos, enabling zero-shot robotic manipulation in real-world environments.

FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object
Hanzhi Chen, Binbin Xu, Stefan Leutenegger
ICRA 2024
project page / paper / video

We propose a framework to infer continuous grasp functions of unseen objects using only one annotated example.

Anthropomorphic Grasping with Neural Object Shape Completion
Diego Hidalgo Carvajal*, Hanzhi Chen*, Gemma Bettelani, Jaesug Jung, Melissa Zavaglia, Laura Busse, Abdeldjallil Naceri, Stefan Leutenegger†, Sami Haddadin
RA-L 2023
project page / paper / video

We design an anthropomorphic grasping system capable of manipulating previously unseen objects using single-view visual input.

TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation
Hanzhi Chen, Fabian Manhardt, Nassir Navab, Benjamin Busam
CVPR 2023
project page / paper / video / code

We re-formulate self-supervised 6D object pose estimation as two sub-optimization problems on texture learning and pose learning.

Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation
Hanzhi Chen*, Daoyi Gao*, Patrick Ruhkamp, Nassir Navab, Benjamin Busam
3DV 2021
project page / paper / video / code

We propose a self-supervised monocular depth estimator providing temporally coherent reconstruction.

WORKSHOPS
1st Workshop on Urban Scene Modeling: Where Vision Meets Photogrammetry and Graphics
CVPR 2024
workshop page

Credit to Binbin for creating this nice website template :D