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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
Before you start
- Basic Python familiarity
- Comfort with algebra or calculus basics
- Interest in robotics systems
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
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?
HumanoidHub has not verified public pricing for this guide. Open Stanford Online for the current access terms before enrolling.
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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