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Physical AI: Learning by Following Along for Everyone

The era of Physical AI, as mentioned by Jensen Huang in 2025, is coming—alongside Perception AI, Generative AI, and Agentic AI. Experience Physical AI firsthand, quickly and easily. Explore Physical AI using Hugging Face's LeRobot library and actual physical robots.

10 learners are taking this course

Level Beginner

Course period Unlimited

Python
Python
AI
AI
Python
Python
AI
AI

What you will gain after the course

  • Trying out the LeRobot library

  • Experiencing various VLAs with SO-ARM

  • Trying out various VLAs with single-arm robots, dual-arm robots, and mobile manipulator robots

Let's explore LeRobot, the leading library in the field of Physical AI.


“This curriculum will be continuously updated alongside the book's publication and is based on a robot kit.”


You can run various VLA models through the LeRobot library released by HuggingFace.

  • In many cases, people are unable to implement the technologies disclosed in research papers because they do not have the actual robots.

  • Experience the LeRobot library using an affordable robot arm.

What you will learn

SO-ARM Assembly and Setup

To learn the LeRobot library and run various VLA models, a physical robot is required. We will use the most affordable SO-ARM robot.
We will learn how to set up the robot to get it operational.


Understanding the LeRobot Library

Let's explore this library, which is built with Python.

LeRobot

ACT

We will look into ACT, which is the most fundamental and fastest model to implement.

And then, try running it yourself. This is the model that allows you to experience actual physical AI in the fastest way possible.



Notes before taking the course

Practice Environment

  • Operating System and Version (OS): OS types and versions such as Windows, macOS, Linux, Ubuntu, Android, iOS, etc.

  • Tools Used: Software/hardware versions required for practice, billing plans, whether virtual machines are used, etc.

  • PC Specifications: Recommended specifications for running the program, including CPU, memory, disk, graphics card, etc.

Learning Materials

  • Format of the provided learning materials (PPT, cloud links, text, source code, assets, programs, example problems, etc.)

  • Quantity and capacity, characteristics of other learning materials, and precautions, etc.

Prerequisite Knowledge and Precautions

  • Whether essential prior knowledge is required, considering the learning difficulty level

  • Content directly related to taking the course, such as video quality (audio/video), and recommended learning methods.

  • Information regarding Q&A and future updates

  • Notice regarding copyrights of lectures and learning materials

Recommended for
these people

Who is this course right for?

  • Those who want to transition from the AI field to Physical AI and robotics.

  • Anyone interested in VLA (Vision-Language-Action) Models?

Hello
This is roboseasy

Curriculum

All

12 lectures ∙ (1hr 3min)

Published: 
Last updated: 

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