Simulation can make experiments repeatable and help teams explore scenarios that are difficult to collect in the physical world. Real-world data brings its own variation, constraints, and surprises. Building a useful robot data engine means understanding what each source contributes and how to learn from the gap between them.
Join HackerSquad and Bright Data for the third Robot Learning meetup, focused on simulation versus reality and the data workflows behind physical AI. We'll discuss how teams collect, curate, and evaluate data for VLAs and world models, and how deployment failures can inform the next training cycle.
We'll begin with a few short demos, continue with a practitioner panel on the tradeoffs behind these systems, and close with networking for the researchers, founders, and engineers building them.
What we'll explore
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Combining simulated, real-world, and demonstration data for robot learning.
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Understanding transfer gaps and choosing evaluations that reflect the tasks a robot needs to perform.
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Building a repeatable loop from data collection and curation to training, evaluation, and feedback from deployment.
Who this is for
Robotics founders, ML engineers, researchers, simulation developers, and data teams working on VLAs, world models, and physical AI. Bring a question about your training pipeline, an evaluation challenge, or a lesson from moving into the real world.
Schedule
All times are Pacific Time (America/Los_Angeles).
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5:00 PM — Doors Open: Check in, meet fellow builders, and settle in.
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5:45 PM — Programming Begins: A few short demos, with builders showing their work and sharing the data and engineering decisions behind it.
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6:15 PM — Panel Discussion: A conversation with practitioners about the evening's topic, followed by audience questions.
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7:00 PM — Networking: Continue the conversation with founders, engineers, researchers, and the teams behind the demos.
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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.