ROBOTICS PIZZA HACKATHON

Teach a robot
to make pizza
in 48 hours.

Choose PizzaBench on standardized hardware or Freestyle with your own robot, model and dataset. Same three challenges — separate leaderboards.

APPLY TO HACK → ORGANIZE WITH US
8–12 TEAMSREAL ROBOTSREAL DATAREAL EVALUATION
SO-101 arm placing pepperoni on a pizza during the hackathon
POLICY pizza_policy_v2
PLACE conf 0.96 · x 310 y 215
100 POINTS ACROSS 3 CHALLENGES
2 TRACKS PIZZABENCH · FREESTYLE
LeRobot SMOLVLA · ACT · DIFFUSION
0 HARD-CODED TRAJECTORIES ALLOWED
/ UPCOMING EVENTS

Next editions.
Pick your weekend.

PizzaBench teams get identical stations. Freestyle teams bring their own stack. Both run the same challenges — each track has its own season leaderboard.

EDITION 01 COMPLETED
Sep 19–20 Cologne, Germany

The inaugural weekend. Results land on the season board.

SEE MEDIA REPORT →
EDITION 02 UPCOMING
Oct 23–25 Cologne, Germany

Full 48-hour format with the Mystery Pizza championship round. Applications open now.

APPLY FOR THIS EDITION →
EDITION 03 UPCOMING
November Europe · city TBA

Season finale. Dates and venue announced once the host partner is confirmed.

GET NOTIFIED →
/ THE PREMISE

Most AI hackathons end with a demo on a screen.

This one ends with a robot making pizza. You get a low-cost robotic arm and 48 hours to teach it how to manipulate ingredients — no hard-coded trajectories, no simulated leaderboard. Your model runs on the physical robot.

Pizza is the theme.
Physical AI is the challenge.

REC / PROTOTYPE STATION 01● LIVE FOOTAGE
/ THE PIPELINE

Five steps from
human to autonomy

You will touch the complete embodied-AI stack: robot → teleoperation → dataset → policy → inference → evaluation.

01

Demonstrate

Teleoperate the SO-101 with a leader arm and show it how the task is done.

02

Collect

Turn episodes into a real LeRobot dataset — frames, states, actions, task text.

03

Train

Fine-tune SmolVLA, ACT or a diffusion policy on GPU compute we provide.

04

Deploy

Run inference on the physical arm. It either picks the pepperoni or it doesn't.

05

Compete

Standardized evaluation, then a hidden generalization challenge you cannot train for.

/ ROBOT PIZZA CUP

Two tracks.
Same challenges.

PizzaBench is the main cup on standardized hardware. Freestyle is for teams and startups with their own robots, models and datasets. Both are judged on the same three challenges — with separate leaderboards.

PIZZABENCH · MAIN CUP

Standardized stack

Assigned SO-101 or ElRobot station, fixed camera, starter repo. Scores count toward the season PizzaBench leaderboard and PizzaBench Champion.

CUSTOM GRIPPERS WELCOME
FREESTYLE

Bring your own

Your robot, your policy, your data. Same three challenges and scoring rubric — ranked on a separate Freestyle leaderboard.

CUSTOM GRIPPERS WELCOME
/ PIZZABENCH CHALLENGES 100 points · scored in both tracks
Precision Topping challenge card

Precision Topping

30 PTS

Pick individual pepperoni from the bin and place them accurately on marked target areas. Six pieces, one time limit.

GRASPING · LOCALIZATION
PLACEMENT PRECISION
Recipe Assembly challenge card

Recipe Assembly

30 PTS

"Make a pizza with four pepperoni and three mushrooms." Identify, count, sequence — and stop when the recipe is complete.

LANGUAGE-CONDITIONED
LONG-HORIZON EXECUTION
Mystery Pizza challenge card

Mystery Pizza

40 PTS

Revealed after models are frozen. New layout, new recipe, shifted bins. No new demonstrations. This one decides each track's leaderboard.

ROBUSTNESS · GENERALIZATION
CHAMPIONSHIP ROUND
/ THE FINAL

New layout.
New recipe.
No new data.

Sunday 15:00: the Mystery Pizza configuration is revealed. Models are already frozen. One policy, one shot, an environment your robot has never seen in exactly this arrangement.

Can your policy generalize?

EVAL_CONFIG.DIFFHIDDEN
- train: 4 pepperoni + 2 mushrooms
+ final: 5 pepperoni + 3 mushrooms
- bin_positions: nominal
+ bin_positions: shifted
- pizza_pose: fixed
+ pizza_pose: sampled(region)
! new_demonstrations: denied
/ WHAT YOU GET

You bring a laptop.
We bring the stack.

No robotics experience required. Every team gets a known-working reference pipeline, so there is always a path to a functioning autonomous policy.

Participant teleoperating an SO-101 arm at a hackathon station
HARDWAREPizzaBench kitSO-101 or ElRobot per team. Freestyle: bring your own.
VISIONFixed RGB camera640×480 @ 30 FPS, identical rig.
COMPUTEGPU accessCloud credits for fine-tuning.
CODEStarter repoBaseline policy + example dataset.
WORKSPACECompetition rigReusable pizza and topping props.
PEOPLEMentorsOffice hours all weekend.
EVALScoring softwareSame protocol for every run.
FUELFood & pizzaEdible ones, made by humans.
YOU BRINGLaptop + curiosityGitHub and Hugging Face accounts.
/ 48 HOURS

Teach. Train. Compete.

Friday you meet the robot. Saturday you fail and improve. Sunday the models are frozen.

FridayBUILD THE PIPELINE
16:00Registration & hardware assignment
17:00Opening session
17:30Robot & LeRobot workshop
18:30Teleoperation & dataset collection
21:00First dataset milestone
SaturdayTRAIN THE ROBOT
09:00Technical office hours
10:00Training & fine-tuning
13:00First autonomous runs
15:00Challenge 1 practice evaluation
21:00Leaderboard checkpoint
SundayCOMPETITION
11:00Models frozen
12:00Official evaluation, C1 & C2
15:00Mystery Pizza revealed
16:00Championship evaluation
17:30Awards, then pizza party
/ AWARDS

Five ways to win

PizzaBench ChampionHighest score on the main-cup leaderboard.
Freestyle ChampionHighest score on the Freestyle leaderboard.
Best VLABest language-conditioned policy.
Best DatasetCleanest demonstrations and docs.
Technical InnovationBest idea in the pipeline.
Organizers reviewing event metrics beside a row of SO-101 arms
/ WHO SHOULD JOIN

Teams of 2–4.
Robotics degree optional.

ML engineers, robotics engineers, computer-vision people, researchers, students, founders and builders. Python and a bit of PyTorch go a long way; everything robot-specific is taught on Friday night.

PYTHON PYTORCH COMPUTER VISION IMITATION LEARNING FIRST-TIME ROBOTICISTS
/ ORGANIZERS

Bring the robot pizza to your city.

Run your own Robot Pizza Hackathon. Gather your club, community or lab for a weekend, put a robot arm on the table and teach it to make pizza. You bring the room and the crowd. We bring the challenge, the rules and a LeRobot starter repo, so every city plays the same game.

YOU BRING

A space, a crowd of curious builders, and some robot gear if you have it.

WE BRING

The three Robot Pizza Cup challenges, scoring rules, starter repo and practice simulation.

Not sure yet? Tell us what you have. "Nothing yet" is a fine answer.

HOST A CITY → Takes 2 minutes. No robot experience needed.
CITY HOSTS · 2026 SEASON
UPCOMING Europe Edition 03 · city TBA NOVEMBER 2026
YOUR CITY Robotics club, makerspace, university lab or AI community. HOST A CITY →
/ PARTNERS
ENGINEERING PARTNER NormaCore ROBOT SOFTWARE · normacore.dev ↗ EDGE PARTNER Wendy Labs logo Wendy Box WENDYOS ON THE EDGE · wendy.dev ↗
VENUE PARTNER SLOT OPEN BECOME A PARTNER →
/ FAQ

Questions
engineers ask

Anything else: robotpizzacup@gmail.com

Do I need robotics experience?+

No. We provide the robot stack, a Friday-night workshop, tutorials and a reference implementation that already works end to end.

Do I need my own robot?+

No. Every team is assigned an identical SO-101 or ElRobot station with teleoperation hardware and a fixed camera.

Can I use my own model?+

Yes, provided it satisfies the competition interface and safety requirements. SmolVLA, ACT and diffusion policies are all supported paths.

Can I hard-code the task?+

You may build supporting infrastructure, but the scored autonomous behaviour must satisfy the published competition policy. The Mystery Pizza round is designed to expose memorized trajectories.

Is it real pizza?+

Scored benchmarking uses standardized reusable rigid props so runs are comparable. The live showcase after benchmarking can use edible ingredients.

Why no sauce or dough? Deformable-material and fluid manipulation would sharply increase failure risk for an inaugural event. Future editions can add them.

What happens to the data we collect?+

You keep your code. Dataset licensing and contribution terms are published before registration opens, and public contribution is opt-in.

Hackathon floor with teams and SO-101 arms

YOUR NEXT MODEL DOESN'T ANSWER QUESTIONS. IT MOVES THINGS.

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