02.02.26
Auslandsstudium
02.02.26
Das Projekt untersucht berufsspezifische Merkmale mobiler Ausbildung in drei Branchen und analysiert organisationale Strukturen sowie die subjektiv erlebte Ausbildungsrealität.
01.02.26
Drone Ballet ("Drohnenballet") is a joint project by the company Zouber from Kiel and Hamburg University of Technology, funded by the Federal Ministry of Research, Technology, and Space (BMFTR), Germany, as part of UAM-Inno Region SH. We plan to develop a new generation of creative, efficiently plannable drone shows. It focuses on AI-based flight-path planning and dynamic swarm control so that shows can be generated automatically, interactively adapted during performances, and enriched with effects such as morphing between shapes and interactive elements. The technology is also intended as a building block for further urban air mobility applications, for example, in sea rescue, agriculture, or inspection, and offers an emission-free alternative to fireworks.
31.01.26
30.01.26
Today we held the finals of our Mazebot Challenge at the Institute for Autonomous Cyber-Physical Systems at TUHH. The challenge is part of our course Design and Implementation for Software Systems. The Mazebot Challenge gives students the chance to apply the skills they learn in this course not just in simulation, but on real hardware, allowing them to experience first-hand the challenges that arise when software meets the physical world. This winter semester, 16 teams participated, and 6 successfully let a LEGO Mindstorms robot navigate autonomously through a maze using only three sensors: a color and a distance sensor, and a gyroscope. In today's final event, three short-listed teams presented their solutions and competed in an unknown maze. The winning team was determined through public vote of all course participants. Congratulations Lael Schunter and Gunther Söding!
30.01.26
A. von Kameke, R. Uphoff, E. Steuwe, J.H. Nissen (Hamburg University of Applied Sciences) together with M. Hoffmann, M. Schlüter, and F. Kexel (Hamburg University of Technology) have shared their latest results of time resolved three-dimensional velocity and vorticity fields behind rising bubbles.
30.01.26
Local Explanations for Classification of Ventilation Data by Neural Networks
29.01.26
In a CRC seminar Prof. Lohse delivered an illuminating talk titled: “Dispersed multiphase Taylor-Couette turbulence: From bubbly drag reduction to catastrophic phase inversion.”
29.01.26
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29.01.26
Am Donnerstag, den 29. Januar 2026 um 11:00 Uhr trägt Herr Alex Mirzada die Ergebnisse seiner Masterarbeit zum Thema "Bereitstellung dezentraler Flexibilität aus sektorgekoppelten Verteilnetzen mittels Reinforcement Learning" vor. Der Vortrag ist hochschulöffentlich und findet im Channel 4 (Harburger Schloßstr. 28) im Raum 1.007 statt.
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