15.09.2025

Robots Seeing in the Dark - With Researcher Yannick Burkhardt
Research Film
What if robots could see in the dark and react faster than any human? Yannick Burkhardt, researcher at TUM and MCML, researches event cameras that capture motion in a revolutionary way. Unlike traditional cameras that take full pictures at fixed intervals, event cameras detect every tiny change in light—up to a million times per second—and feed this data into machine learning models.
This technology allows robots to perceive their environment in real time with incredible speed and precision, even in challenging lighting conditions. Applications include self-driving cars that can navigate busy streets more safely.
This video is part of the project KI Trans, an initiative in collaboration with TüftelLab and Uta Hauck-Thum from Ludwig-Maximilians-Universität München, focused on equipping teachers with the essential skills to navigate AI in schools. The project is funded by the Bundesministerium für Forschung, Technologie und Raumfahrt as part of DATIpilot.
©MCML
Related

29.09.2025
Machine Learning for Climate Action - With Researcher Kerstin Forster
Kerstin Forster researches how AI can cut emissions, boost renewable energy, and drive corporate sustainability.

26.09.2025
Björn Ommer Featured in WELT
MCML PI Björn Ommer told WELT that AI can never be entirely neutral and that human judgment remains essential.

25.09.2025
Björn Schuller Featured in Macwelt Article
MCML PI Björn Schuller discusses in Macwelt how Apple Watch monitors health, detects subtle changes, and supports early intervention.

24.09.2025
MCML PI Björn Ommer Featured on ZDF NANO Talk
MCML PIs Björn Ommer & Alena Buyx discuss AI’s essence on ZDF NANO Talk, covering tech, ethics, and societal impact.