Sept 23 - Munich Physical AI Workshop and Meetup

Join us at Impact Hub Munich on September 23rd for the Munich Physical AI Workshop and Meetup, co-presented by Nebius and Voxel51.

Seats are limited, Pre-registration is mandatory.

Date, Time and Location

Sep 23, 2026
5:30 PM - 8:30 PM CEST
Impact Hub Munich, Gotzinger Str. 8, 81371 München, Germany

Meetup Speakers

Online Monitoring of Mechanical Loads

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.

Speaker: Alexander Nenninger at NTT DATA

Physical Intelligence: Building the Next Gen of Robotics

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.

Speaker: Jayabalaji Sathiyamoorthi at Intel

Meetup Agenda
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 detector
• Explore a real DROID robotics recording in FiftyOne's native multimodal MCAP viewer: camera, proprioception, and language on one synced timeline, no ROS install required
• Curate: extract and browse frames from the recording, filter and deduplicate
• Compute 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 objects
• Train: 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