The Program
Your first complete robot-learning project.
The 12-week ON Robotics program is for young adults aged 18–25 who want to understand how AI connects to real machines. The starting point is a controlled robot-arm task—not an expectation that beginners immediately program a humanoid.
Learn the project cycle: write and review code, collect demonstrations, prepare a dataset, train a model with guided tools and evaluate its behavior on a physical robot.
Illustrative — not a recording of the ON Robotics lab.
Program facts
Program description.
Cohort facts are shared with everyone who registers interest.
- Student level
- Young adults aged 18–25 — university students, recent graduates, gap-year students and early-career learners.
- Duration
- 12 teaching weeks. Holidays and make-up sessions may extend the calendar.
- Weekly effort
- Approximately 5–6 hours, including teaching, practice and a team lab session.
- Teaching
- Two 90-minute live classes per week.
- Lab format
- A 60-minute team booking, normally shared by four students with rotating roles.
- Readiness
- A short assessment; prior robotics experience is not required.
- Preparation
- An optional two-week bridge, approximately four hours per week.
A typical week
Learn a new idea in the first live class. Practice it and review mistakes in the second. Prepare independently before your laboratory booking. During the team session, rotate through operating, reviewing code, recording data and evaluating results. Each student completes an assessed contribution and explains their own work.
Equipment and language
The program uses a laptop, browser, tested internet connection and hosted coding resources. Review the final technical checklist before buying equipment. Students should not purchase a robot or high-performance computer unless the written cohort requirements call for one.
Teaching language, available language support and class times will be stated for each cohort.
Curriculum
Twelve weeks of progressively deeper work.
Each weekly module is designed to end with a physical mission and evidence of learning.
Data collection and evaluation may require additional scheduled team time.
The cohort offer explains make-up arrangements for physical sessions.
Week 01
Python and robot safety
Mission or evidence
Inspect status, execute approved movements and demonstrate the stop procedure.
Week 02
Joints and coordinates
Mission or evidence
Visit fixed targets and record repeatability.
Week 03
Remote operation
Mission or evidence
Move a lightweight object into a tray and explain a failed attempt.
Week 04
Cameras and observations
Mission or evidence
Use live views to select an object and document the decision.
Week 05
Demonstration quality
Mission or evidence
Record consistent examples and identify unusable data.
Week 06
Robot datasets
Mission or evidence
Inspect synchronized data and prepare a team dataset card.
Week 07
Learning from examples
Mission or evidence
Prepare guided training and explain model inputs and outputs.
Week 08
Supervised deployment
Mission or evidence
Test an approved model and record all trial outcomes.
Week 09
Evaluation
Mission or evidence
Measure success, timing and failure types with a defined test.
Week 10
Improvement
Mission or evidence
Collect targeted examples, retrain and compare versions fairly.
Week 11
Capstone integration
Mission or evidence
Connect task, code, data, model and evaluation.
Week 12
Demo Day
Mission or evidence
Demonstrate the project and explain contributions and limitations.
Portfolio and completion
Finish with evidence you can explain.
Your portfolio records the task you investigated, your contribution, code and dataset references, experiment results, and what you would improve. It includes a short demonstration and an individual explanation.
Completion is based on assessed work, required safety checks and individual understanding—not attendance alone. A well-analyzed failed experiment can show meaningful learning. An ON Robotics completion record will identify the assessed skills and hardware actually used.
The program uses the open-source LeRobot ecosystem as a teaching tool. ON Robotics supplies the curriculum, supervised remote-lab delivery and assessment. Tool use does not imply a partnership or endorsement by its creators.
Tuition
Tuition for the next cohort will be published when registration opens. Before any payment, you receive the total price and a written description of what is included. Advanced programs and future travel opportunities will be priced separately unless expressly included in the offer.
Register Interest