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Learning Robot Learning Hackathon

lumaHosted on Luma

Fetched about 7 hours ago

Saturday, August 15, 2026

to Sunday, August 16, 2026

•

1 day long

Artificial Intelligence

Event Type

in person

4

Participants

0

Est. Projects

Robot learning is on track to be the defining technology of our lifetime, but unlike LLMs or agents, you can't just start with a laptop. You need an arm, and for many models, a strong local GPU. This request keeps coming up at our paper clubs: engineers and computer scientists who want to try things hands-on but don't have an arm. We have a lot of big arms and thanks to the Pollefeys lab, we'll have over a dozen SO-100 arms for the weekend. FormatOpen hacking. No prizes, no judging, no demo pressure - the point is to learn and to meet other people with shared interests. What we provide SO-100 arms and TRLC-DK1/YAM arms for those with prior experience.An intro session giving you a brief overview of robot learning, recommendations for starting points and tips on what to avoid.Food, drinks and snacks for the weekend. What you need Comfort reading and writing code. Ideally you already have ML experience and just never had the time to point it at robotics.Your own laptop.Initiative: we'll help you figure things out, but we won't teach you.Optionally, a friend or two to work together with, so we can make the most use of the arms per person.You should be ok spending

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct