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Hi, I'm Hermann, a junior professor at the Lamarr Institute / Uni Bonn. Previously, I worked as a PostDoc in the Computer Vision and Geometry Lab of ETH Zürich. For my PhD I was part of the Autonomous Systems Lab at ETH Zürich.

My research focuses on robotic perception. I strive to build robots that can understand their environment semantically and geometrically, in order to perform manipulation and other safety critical tasks in proximity to humans.

Here is my lab website.

hermannsblumhermannsblum@hermann@sigmoid.social
I have open PhD positions in my new lab from autumn 2024 onwards. Please reach out if you are interested to be part of my new lab on robotic perception and learning.

Here are my recent works:

SNI-SLAM: Semantic Neural Implicit SLAM
S Zhu, G Wang, H Blum, J Liu, L Song, M Pollefeys, H Wang
CVPR 2024
A 3D Mixed Reality Interface for Human-Robot Teaming
J Chen, B Sun, M Pollefeys, H Blum
ICRA 2024
Active Visual Localization for Multi-Agent Collaboration: A Data-Driven Approach
M Hanlon, B Sun, M Pollefeys, H Blum
ICRA 2024
🏆 Best Paper at ICRA 24 Mobile Manipulation Workshop
Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds
O Lemke, Z Bauer, R Zurbrügg, M Pollefeys, F Engelmann, H Blum
🏆 Best Paper at ICRA 24 Mobile Manipulation Workshop
" Where am I?" Scene Retrieval with Language
J Chen, D Barath, I Armeni, M Pollefeys, H Blum
2024
fully automatic labels on the quality level of ScanNet
LabelMaker: Automatic Semantic Label Generation from RGB-D Trajectories
S Weder*, H Blum*, F Engelmann, M Pollefeys
fully automatic labels on the quality level of ScanNet
Unsupervised Continual Semantic Adaptation through Neural Rendering
Z Liu, F Milano, J Frey, R Siegwart, H Blum, C Cadena
Uncertainty Estimation for Planetary Robotic Terrain Segmentation
MG Müller, M Durner, W Boerdijk, H Blum, A Gawel, W Stürzl, R Siegwart, ...
2023 IEEE Aerospace Conference, 1-8, 2023
my PhD thesis
Self-improving, Open-World Robotic Scene Understanding
H Blum
ETH Zürich 2022
my PhD thesis
🏆 Best Paper Runner-up at the 2021 NeurIPS Robot Learning Workshop
Continual Adaptation of Semantic Segmentation Using Complementary 2D-3D Data Representations
J Frey, H Blum, F Milano, R Siegwart, C Cadena
IEEE Robotics and Automation Letters 2022
🏆 Best Paper Runner-up at the 2021 NeurIPS Robot Learning Workshop
mm-precise RGBD pointclouds
SL Sensor: An open-source, real-time and robot operating system-based structured light sensor for high accuracy construction robotic applications
TF Lam, H Blum, R Siegwart, A Gawel
Automation in Construction 2022
mm-precise RGBD pointclouds
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding
H Blum, MG Müller, A Gawel, R Siegwart, C Cadena
🏆 Best Paper at IROS 2023 WS 'Frontier Vision & Learning Techniques'
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection
B Sun, J Xing, H Blum, R Siegwart, C Cadena
ICRA 2022
🏆 Best Paper at IROS 2023 WS 'Frontier Vision & Learning Techniques'
Interactive OAISYS: A photorealistic terrain simulation for robotics research
MG Müller, J Lim, L Schmid, H Blum, W Stürzl, A Gawel, R Siegwart, ...
ICRA 2022
integrates our NeurIPS workshop work into a fully autonomous press-start-and-leave domain adaptation
Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning
R Zurbrügg, H Blum, C Cadena, R Siegwart, L Schmid
IROS 2022
integrates our NeurIPS workshop work into a fully autonomous press-start-and-leave domain adaptation
Global Localization in Meshes
ISARC 2021
Precise Robot Localization in Architectural 3D Plans
ISARC 2021
Pixel-wise Anomaly Detection in Complex Driving Scenes
G Di Biase*, H Blum*, R Siegwart, C Cadena
Our new concept for robots that learn on their own
Self-Improving Semantic Perception for Indoor Localisation
H Blum, F Milano, R Zurbrügg, R Siegwart, C Cadena, A Gawel
Conference on Robot Learning 2021
Our new concept for robots that learn on their own
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
R Chan*, K Lis*, S Uhlemeyer*, H Blum*, S Honari, R Siegwart, P Fua, M Salzmann, M Rottmann
NeurIPS 2021 - Dataset Track
Online Synchronization of Building Model for On-Site Mobile Robotic Construction
ISARC 2020
Fishyscapes: A benchmark for safe semantic segmentation in autonomous driving
first mayor work of our interdisciplinary construction-robotics team
A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction
A Gawel, H Blum, J Pankert, K Krämer, L Bartolomei, S Ercan, F Farshidian, M Chli, F Gramazio, R Siegwart, M Hutter, T Sandy
first mayor work of our interdisciplinary construction-robotics team
Active Learning for UAV-based Semantic Mapping
2nd Workshop on Informative Path Planning and Adaptive Sampling, RSS 2019
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes
IEEE Robotics and Automation Letters (RA-L) 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
H Blum*, PE Sarlin*, J Nieto, R Siegwart, C Cadena
paper figure
Modular Sensor Fusion for Semantic Segmentation
H Blum, A Gawel, R Siegwart, C Cadena
IROS 2018
Obstacle avoidance and target acquisition for robot navigation using a mixed signal analog/digital neuromorphic processing system

Thanks to 0melapics / Freepik for the robot decorations.

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