Humanoid Training · Part of The Humanoid Group

How to Train a Humanoid

Teaching a humanoid a new task follows the same loop whether it lives in a lab, a warehouse or a home: show it, let it practice, test it, then refine. This guide walks through each step.

By Arjun Rao · Updated October 2026

Show the task

Most modern humanoids learn from demonstrations. Someone performs the task, either by guiding the robot through teleoperation or by recording themselves, and the robot's software turns those recordings into training data. Keep each demonstration clean and consistent, cover the variations the robot will meet, such as different object positions, and record failures and recoveries as well as perfect runs. A few clean runs teach more than many sloppy ones.

Practice in simulation and on the floor

Many platforms let the robot practice in simulation before it touches real objects, which is faster and safer. Then move to the real space with the task simplified: fewer objects, slower speeds and a clear safety zone. Increase difficulty step by step, adding clutter, lighting changes and new objects only once the robot handles the basics reliably. Log every run.

Test, measure and refine

Decide in advance what success means: the share of attempts completed, time per task and how often a person has to step in. Run the same test set after every training round so improvements are real, not lucky. When the robot fails, add demonstrations of that exact situation. Expect several rounds before a task is dependable enough for daily use.

Sources and further reading

Real-World Humanoid Locomotion with Reinforcement Learning — UC Berkeley (arXiv; published in Science Robotics).
A humanoid walking controller trained entirely in varied simulations, then run on the real robot without fine-tuning.
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning — ETH Zurich and NVIDIA (arXiv; CoRL 2021).
Shows thousands of simulated robots training in parallel on a single GPU, cutting locomotion training from hours to minutes.
Diffusion Policy: Visuomotor Policy Learning via Action Diffusion — Columbia University, MIT and Toyota Research Institute (arXiv; RSS 2023).
Learns robot actions from demonstrations with a diffusion model and reports results across several manipulation benchmarks.

Common questions

Do I need to code to train a humanoid?

Not always. Many platforms now support training by demonstration through an app or teleoperation rig, though custom tasks and integrations still benefit from programming skills.

How long does it take to teach a new task?

From hours for simple, structured tasks to weeks for varied ones. The number of good demonstrations and testing rounds matters more than the clock.

Learning From Demonstration — How humanoids learn skills from human demonstrations and teleoperation data.
Simulation & Sim-to-Real — Why humanoids train in simulation first, and what it takes to cross the gap to the real world.
Evaluation & Readiness — How to judge whether a humanoid is safe, reliable and ready for real work.
Preparing Your Team — The roles, skills and habits your organisation needs before humanoids arrive.
Humanoid Training Services — When to outsource robot data collection, teleoperation and evaluation, and what to ask a provider.
How to Train a Humanoid — A plain-language walkthrough of teaching a humanoid a new task, from demonstration to testing.
Teleoperation for Data — VR, leader-arm and exoskeleton rigs for recording humanoid demonstrations, and what makes a run worth keeping.
Learning to Walk — How reinforcement learning teaches humanoids to walk and balance in simulation before they step out for real.
Training Data and Privacy — Recording people at work or at home to train robots: consent, data protection law and careful data handling.
Choosing First Tasks — How to pick a humanoid's first skills, set pass marks and budget for the demonstrations each one needs.
Safety While Training — Zones, stops and supervision that keep people safe while a humanoid is being taught, tested and debugged.
Latest updates — Teaching robots now takes data operations, simulation and careful testing. These figures and dated updates show where training data comes from, how fast robots learn new tasks and how results are checked.
About us — What we cover, how we source every figure, and who publishes this site.

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