Silicon Valley/Real robots/Global students

Control real robots.Build your future.

A 12-week program where young adults aged 18–25 learn Physical AI — the AI that makes robots see, decide and act — and run their own code on real robots in our Silicon Valley lab, from anywhere in the world.

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Illustrative — not a recording of the ON Robotics lab.

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Registering interest now. Tuition for the next cohort will be published when registration opens.

Not a simulation

Your robot is in California.Your classroom is anywhere.

Students write code at home. Our lab in Mountain View runs it on real robot arms today, with mobile robots and drones coming next. Sessions are scheduled and supervised by an instructor — every run is approved, observed and recorded.

  • Available now

    Robot arms

    Pick, place, grasp, automate.

  • Coming soon

    Mobile robots

    Navigate, sense, avoid.

  • Coming soon

    Drones

    Perceive, plan, fly.

Illustrative — not a recording of the ON Robotics lab.

Real missions

Every module ends with a mission.

Missions are assessed on real hardware. Students keep the code and results.

  1. Weeks 01–02

    MISSION 01

    Python, safety, joints & coordinates

    Execute approved movements, demonstrate the stop procedure, visit fixed targets and record repeatability.

  2. Weeks 03–04

    MISSION 02

    Remote operation & cameras

    Move a lightweight object into a tray; use live camera views to select an object and document the decision.

  3. Weeks 05–06

    MISSION 03

    Demonstrations & datasets

    Record consistent demonstrations and prepare a team dataset card.

  4. Weeks 07–08

    MISSION 04

    Learning from examples & supervised deployment

    Train a model with guided tools and test it on the real arm, recording every trial.

  5. Weeks 09–10

    MISSION 05

    Evaluation & improvement

    Measure success, timing and failure types; collect targeted examples, retrain and compare.

  6. Weeks 11–12

    Capstone

    Capstone & Demo Day

    Connect task, code, data, model and evaluation; demonstrate and explain your contribution.

How it works

Physical AI in practice: demonstrate a task, record examples, train a model, test it, improve it.

02 · Simulation03 · Real robot
  1. 01

    Learn

    Live online lessons in Python, AI and computer vision.

  2. 04

    Explain

    Document code, results and what went wrong. That's what gets assessed.

Illustrative — not a recording of the ON Robotics lab.

Built for curious young adults aged 18–25.No robotics experience needed.

Program

  • Ages 18–25
  • 12 teaching weeks
  • 5–6 hours per week
  • Teams of 3–4, individual assessment
  • Readiness check before start

Format

  • Online lessons + scheduled lab access
  • Language of instruction confirmed per cohort
  • Live session times confirmed per cohort
  • Requirements: laptop and a stable internet connection
  • Tuition published when registration opens

Progress you can see — not just attendance.

  1. By week 4

    A supervised robot task.

  2. By week 8

    A team dataset built from recorded demonstrations.

  3. By week 12

    A project portfolio with an individual explanation.

Students walk away with

  1. 01

    Engineering

    Define the task, run it, measure what actually happened, then change one thing. Every mission is run and reviewed the same way, so the habit outlasts the twelve weeks.

  2. 02

    Python

    Students write the code that moves the arm: reading sensor values, setting positions, and handling the runs that do not go to plan.

  3. 03

    AI literacy

    They record demonstrations, train a model on them and watch where it fails. A model stops being a black box once you have built one that drops the block.

  4. 04

    Hardware

    Scheduled, supervised sessions on the robots in Mountain View: submit the code, watch it execute, read the result and try again.

  5. 05

    Portfolio

    Mission results, recorded data and a final project the student can talk through in their own words: what worked, what did not, and why.

Outcomes describe what the program is designed to deliver. We will publish results from our first cohort.

Where this leads

Every student finishes with a portfolio they can explain. The strongest go further.

  • Fellows pathway

    Students who show strong understanding and safe working habits are invited to continue: advanced projects, humanoid robotics, competitions, and mentoring from the lab team.

    Learn more
  • Summer in Mountain View

    Each year, the top 10 students across our cohorts are invited to a two-week summer program at the Silicon Valley lab — hands-on robot time and events alongside local students and engineers. Program fee and scholarship details are published on selection. Selected students receive a 50% scholarship and cover the remaining fee, travel and visa arrangements.

    Learn more
  • Advancement is merit-based

    Selection is based on assessed work — mission results, data and model quality, safety and communication — not on seniority or payment.

ON Robotics does not guarantee university admission, employment or visa outcomes. Invitations depend on the student's assessed work and on the student's ability to arrange travel.

School & Partner Programs

Bring Physical AI to your students.

We work with schools, academies and education partners to run the ON Robotics curriculum for their students — live online teaching, supervised remote sessions on real robots in our Mountain View lab, and portfolios students can explain.

  • Cohorts for your students, scheduled around your timetable
  • Remote robot lab sessions and simulation-to-hardware training
  • Teacher onboarding and progress reporting
Talk to us about a partnership

The lab

319 N Bernardo Ave, Mountain View, CA

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Illustrative — not a recording of the ON Robotics lab.

Register your interest.

Registration is open worldwide. Classes are online and taught in English. We’ll contact you with dates, class times, requirements and tuition. Registering doesn’t reserve a place or require payment.

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