Munich Physical AI Workshop and Meetup - September 23, 2026
A Nebius and Voxel51 workshop and meetup combining local AI and computer vision talks with practical physical AI development. The hands-on segment uses FiftyOne to curate robotics and sensor data and evaluate vision models. A laptop is required.
Networking and Meetup
5:30–6:30 PM
Networking, food, drinks, and lightning talks
Workshop Agenda
This hands-on session uses DROID, a real-world robotics dataset loaded into FiftyOne as a native multimodal MCAP recording, and YOLO11n, fine-tuned live during the session.
6:30–7:30 PM
Welcome + framing: from raw robot logs to a trained detectorExplore a real DROID robotics recording in FiftyOne's native multimodal MCAP viewer: camera, proprioception, and language on one synced timeline, no ROS install requiredCurate: extract and browse frames from the recording, filter and deduplicateCompute embeddings on the curated frames; explore via similarity search and embeddings visualization (via Nebius Serverless AI Jobs)
7:30–8:00 PM
Auto-label: open-vocabulary detection to generate bounding boxes for the robot gripper and target objectsTrain: fine-tune a YOLO11n detector on the auto-labeled frames (via Nebius Serverless AI Jobs)Evaluate results and close the loop: view predictions back on the original MCAP timeline
8:00–8:30 PM
What else Nebius offers: Token Factory walkthrough — chat/vision models, fine-tuning, credits
Vehicle components are constantly affected by forces caused by acceleration, braking, road conditions, and driving behavior. These forces create material stresses, and repeated stress over time leads to fatigue—one of the main causes of component failure. Understanding how loads translate into stress and ultimately into damage is therefore essential.
In this talk, we present how a machine learning model can estimate mechanical loads even in vehicles without dedicated sensors for this purpose. By reconstructing hidden stresses from available vehicle data, the solution enables real-time fatigue assessment, improves component durability predictions, and supports safer, more reliable vehicle designs—without requiring additional hardware.
Explore how physical AI is transforming robots to perceive, reason, learn, and act in the real world. Discover the Intel Robotics AI Suite, Physical AI Toolkit, and Physical AI Studio, and how developers can build, deploy, and accelerate the next generation of intelligent robots through an open community.
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sponsors
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agenda
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Sources
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Published schedule: 5:30 PM - 8:30 PM CEST. Exact time and timezone withheld because organizer abbreviations are not independently reconciled. Full biographies/abstracts retained in immutable HTML receipt. Sponsor, exhibitor and attendee lists not inferred from speaker employers. Session local day: the published single-day event page groups these agenda items/talks on 2026-09-23. Exact times remain unknown where timezone labels are unresolved.