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Revolute Hackathon

devpostHosted on Devpost

Fetched about 4 hours ago

Sunday, August 2, 2026

to Sunday, August 2, 2026

Beginner FriendlyArtificial IntelligenceRobotic Process Automation

Event Type

in person

2

Participants

0

Est. Projects

About the challenge

We’re bringing together 30 builders, hackers, and robotics engineers to tackle a unique, high-energy theme: Cooking with Robot Arms! Whether it’s flipping pancakes, sorting ingredients, pouring liquids, or executing delicate culinary assembly, Revolute is all about bridging the gap between open hardware, edge compute, and foundation vision-language-action (VLA) models.

Our core mission isn't just competition—it’s bringing together and growing the Boston robotics and physical AI maker community. Expect great food, awesome gear, friendly mentors, and a weekend full of creative engineering!

Get started

  • Provided Hardware per Team (4–5 people): Each team gets access to a physical kit including one SO-100 follower arm, one leader control arm, two USB cameras, and an NVIDIA Jetson edge compute system.

  • The Goal: Take your arm setup from zero to executing a physical task—whether through teleoperation dataset collection, fine-tuning policies (like LeRobot or NVIDIA Isaac GR00T), or building custom vision-control loops.

  • Supported Backers & Partners: Backed by Seeed Studio, Fab Foundation, MITERS, and Boston Robot Hackers

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