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The Physical AI Hackathon by Robotics Nation

lumaHosted on Luma

Fetched 4 months ago

Friday, February 27, 2026

to Sunday, March 1, 2026

•

2 days long

RoboticsArtificial IntelligenceMachine Learning

Event Type

in person

44

Participants

€5,000

Prize Pool

3

Est. Projects

Not everyone gets access to state-of-the-art robot learning equipment - you do. Prove what you can build in the messy, unpredictable physical world in 48 hours  for a €5,000 prize. When: Feb 27 - Mar 1Where: Illusian Founder Office, Kluuvikatu 6Teams: 3-5 peopleSpots: 50 total - spots are limitedPrizes: €5,000 (its pricepool you got clickbaited) Choose your hardware: Challenge 1 Automate the most impressive task using two LeRobot SO101 arms working together, using robot learning techniques like (but not limited to) RL, VLA or imitation. Challenge 2 Automate the most impressive task using one LeRobot SO101 arm mounted on an omnidirectional LeKiwi platform, powered by a Jetson Orin Nano using robot learning techniques like (but not limited to) RL, VLA or imitation. Its not forbidden to plan and research in advance, remember its 5k. Staying overnight in the space is unfortunately not possible. Sign ups are not first come first serve so take your time to answer the questions properly! See yall at the event - Robotics Nation 🦾

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