People

Friedhelm Hamann

Doctoral Researcher

Computer Science

TU Berlin

 

Email:
f.hamann@tu-berlin.de

 

Photo: SCIoI

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Friedhelm Hamann

Friedhelm Hamann

Photo: SCIoI

Friedhelm Hamann is a doctoral researcher with SCIoI and a member of the Robotic Interactive Perception group. He is interested in advancing algorithms for visual sensor data to extract high-level information and improve the perception system of artificial agents. His research (Project 36) focuses on the use of event cameras, which are inspired by the human visual system. At SCIoI, he aims to integrate computer vision algorithms into robotic systems to develop tools for the behavioral analysis of animals. Friedhelm received his B.Sc. in Electrical Engineering from University of Rostock in 2019 and completed his M.Sc. in Electrical Engineering and Information Technology at RWTH Aachen University in 2021.

Projects

Friedhelm Hamann is member of Project 36.

Hamann, F., & Gallego, G. (2022). Stereo Co-capture System for Recording and Tracking Fish with Frame- and Event Cameras. International Conference on Pattern Recognition (ICPR), Workshop on Visual observation and analysis of Vertebrate And Insect Behavior. https://arxiv.org/abs/2207.07332
Raoufi, M., Hamann, H., & Romanczuk, P. (2021). Speed-vs-Accuracy Tradeoff in Collective Estimation: An Adaptive Exploration-Exploitation Case. IEEE 2021 International Symposium on Multi-Robot and Multi-Agent Systems (MRS). https://doi.org/10.1109/MRS50823.2021.9620695
Hamann, F., Ghosh, S., Martínez, I. J., Hart, T., Kacelnik, A., & Gallego, G. (2024). Low-power, Continuous Remote Behavioral Localization with Event Cameras. CVPR. https://doi.org/10.48550/arXiv.2312.03799
Raoufi, M., Romanczuk, P., & Hamann, H. (2023). Inter-individual Variations in Swarm Robotics with the Case Study of Kilobots. ICRA 2023/workshop “Heterogeneity in Multi-Robot Systems.” https://raaslab.org/icra2023-hmrs/#contr
Raoufi, M., Romanczuk, P., & Hamann, H. (2023). Individuality in Swarm Robots with the Case Study of Kilobots: Noise, Bug, or Feature? Artificial Life (ALife) 2023. https://arxiv.org/abs/2305.16063
Shiba, S., Hamann, F., Aoki, Y., & Gallego, G. (2023). Event-based Background-Oriented Schlieren. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–16. https://doi.org/10.1109/TPAMI.2023.3328188
Raoufi, M., Romanczuk, P., & Hamann, H. (2023). Estimation of continuous environments by robot swarms: Correlated networks and decision-making. ICRA 2023.

Research

An overview of our scientific work

See our Research Projects