How does a model's understanding of the physical world translate into reliable manipulation? Learning to predict what happens next and learning to act both depend on the training data, representations, and feedback available to the system.

The second Robot Learning meetup brings together builders working on world models, vision-language-action models (VLAs), and dexterous manipulation. Hosted by HackerSquad and presented by Bright Data, the evening puts data at the center of the conversation: what models can learn from video and demonstrations, how that learning connects to control, and how teams evaluate progress.

We'll start with a few short demos, hear from practitioners in a panel discussion, and leave plenty of time to meet other robotics and physical AI teams.

What we'll explore

  • World representations, prediction, and their relationship to planning and action.

  • Learning manipulation from demonstrations and other visual data, including the limits of transfer to a physical task.

  • Building useful training and evaluation datasets, understanding failure cases, and improving robustness.

Who this is for

Robotics founders, researchers, ML engineers, and builders working on world models, VLAs, manipulation, and training data for physical AI. Bring a research question, a data bottleneck, or lessons from a system you are building.

Schedule

All times are Pacific Time (America/Los_Angeles).

  • 5:00 PM — Doors Open: Check in, meet fellow builders, and settle in.

  • 5:45 PM — Programming Begins: A few short demos, with builders showing their work and sharing the data and engineering decisions behind it.

  • 6:15 PM — Panel Discussion: A conversation with practitioners about the evening's topic, followed by audience questions.

  • 7:00 PM — Networking: Continue the conversation with founders, engineers, researchers, and the teams behind the demos.

  • 8:30 PM — Doors Close.

Location and registration

Join us at Bright Data — Web Data Loft, 625 2nd St, San Francisco, CA 94107. Hosted by HackerSquad and presented by Bright Data.

Attendance is free, with registration subject to approval. Demo teams and panelists will be announced.