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Building generative models for motion synthesis or control Experimenting with humanoids, robot arms, exoskeletons and dexterous hands Training virtual agents using RL and transfer to real robots Collecting data with different motion capture systems Pre-training or fine-tuning VLMs for policy dev

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Prerequisites

Before you start

  • Basic Python familiarity
  • Comfort with algebra or calculus basics
  • Interest in robotics systems
Course Detail

About this guide

Building generative models for motion synthesis or control Experimenting with humanoids, robot arms, exoskeletons and dexterous hands Training virtual agents using RL and transfer to real robots Collecting data with different motion capture systems Pre-training or fine-tuning VLMs for policy development Developing and using multibody simulators Designing and building 3D-printable humanoids Solving both convex and non-convex optimization problems [...] #### Humanoid Robotic Foundation Mode

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Common questions

What will I learn in Join?

Building generative models for motion synthesis or control Experimenting with humanoids, robot arms, exoskeletons and dexterous hands Training virtual agents using RL and transfer to real robots Collecting data with different motion capture systems Pre-training or fine-tuning VLM

Is Join free?

Yes — this guide is free to access through Stanford Online. Some providers may offer paid certificates separately.

Do I need any prerequisites?

Recommended prep: Basic Python familiarity; Comfort with algebra or calculus basics; Interest in robotics systems.

How long does it take?

1 hours total. Most learners complete this guide in self-directed sessions over a few weeks.

Does it offer a certificate?

This guide does not include a formal certificate. Focus is on the learning material itself.

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Skills Apply To

Robots that use these skills

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