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Physical AI

Berlin Physical AI Workshop and Meetup - September 26, 2026

Sep 26, 2026
1:30 PM - 4:30 PM CEST
MotionLab.Berlin, Bouchéstraße 12/Halle 20, 12435 Berlin, Germany
Speakers
About this event
Join us at MotionLab.Berlin on Saturday, September 26th for the Berlin Physical AI Workshop and Meetup, co-presented by Nebius and Voxel51.
The afternoon kicks off meetup-style with lightning talks from local speakers working across AI, machine learning, and computer vision, followed by a hands-on workshop on building physical AI applications with FiftyOne, from curating robotics and sensor datasets to evaluating vision models on real-world data.
A laptop is required to participate in the hands-on workshop - please bring one. Space is limited, so register early.
Also joining us the night before at w3.hub? Register for both nights to save your spot at the September 25 meetup too.
Schedule
Hosts

Networking and Meetup

1:30–2:30 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.
2:30–3:30 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)
3:30–4:00 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
4:00–4:30 PM
  • What else Nebius offers: Token Factory walkthrough — chat/vision models, fine-tuning, credits