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Research Group Stefan Leutenegger

Link to Stefan Leutenegger

Stefan Leutenegger

Prof. Dr.

Principal Investigator

Machine Learning for Robotics

Stefan Leutenegger

is Assistant Professor of Machine Learning for Robotics at TU Munich.

His field of research is the area of mobile robotics, with focus on robot navigation through potentially unknown environments. He develops algorithms and software, which allow a robot (e.g. drone) using its sensors (e.g. video) to reconstruct 3D structure as well as to categorise it with the help of modern Machine Learning (including Deep Learning). This understanding enables safe navigation through challenging environments, as well as the interaction with it (including humans).

Team members @MCML

Link to Yannick Burkhardt

Yannick Burkhardt

Machine Learning for Robotics

Link to Hanzhi Chen

Hanzhi Chen

Machine Learning for Robotics

Link to Sotirios Papatheodorou

Sotirios Papatheodorou

Machine Learning for Robotics

Link to Simon Schäfer

Simon Schäfer

Machine Learning for Robotics

Link to Xingxing Zuo

Xingxing Zuo

Dr.

Machine Learning for Robotics

Publications @MCML

[2]
Y. Xin, X. Zuo, D. Lu and S. Leutenegger.
SimpleMapping: Real-time visual-inertial dense mapping with deep multi-view stereo.
IEEE/ACM International Symposium on Mixed and Augmented Reality (ISMAR 2023). Sydney, Australia, Oct 16-20, 2023. DOI.
MCML Authors
Link to Xingxing Zuo

Xingxing Zuo

Dr.

Machine Learning for Robotics

Link to Stefan Leutenegger

Stefan Leutenegger

Prof. Dr.

Machine Learning for Robotics


[1]
X. Zuo, N. Yang, N. Merrill, B. Xu and S. Leutenegger.
Incremental Dense Reconstruction from Monocular Video with Guided Sparse Feature Volume Fusion.
IEEE Robotics and Automation Letters 8.6 (Jun. 2023). DOI.
MCML Authors
Link to Xingxing Zuo

Xingxing Zuo

Dr.

Machine Learning for Robotics

Link to Stefan Leutenegger

Stefan Leutenegger

Prof. Dr.

Machine Learning for Robotics