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Chapter 16: Damo Institute & Datawhale Online Team Learning

Damo Institute & Datawhale Online Team Learning

Theme

0 基础入门具身智能：5 天实战营

For the team learning recruitment copy, refer to: 00_Team Learning Recruitment Reference Draft.md. The start time, participants, registration method, and QR code need to be replaced before the official release.

Who is suitable to learn this

  • Learners who are exposed to embodied AI for the first time
  • Students interested in robots, large models, autonomous driving, and agents
  • Developers who want to build a general understanding first, and then decide whether to delve deeper into code and real robots

Core Value:

✅ Zero barrier: Easy-to-learn design for beginners, allowing you to easily get started with embodied AI

✅ True Verification: Combines the open-source RynnBrain model from Damo Academy and LeCloud Platform, making online learning easier.

✅ Lightweight delivery: From concept to hands-on manipulation, no hardware purchase required

How to Learn

  1. Understand Embodied AI: Concepts and Industry Trends (Current Development, Current Challenges)
  2. Product Forms and Applications of Embodied AI
    • Product forms: Robotic arms, intelligent transportation equipment, new smart products
    • Application forms: Humanoid robots (two-legged/wheeled), quadrupedal robotic dogs, biomimetic robots, robotic arms, etc.
  3. Research Directions and Key Technical Approaches in the Embodied AI Field
    • VLA model
    • World model
    • VLM model + World model: RynnBrain model (innovative) 👉🏻 Experience Demo
  4. LeYun Embodied AI Platform
    • Conventional method: Data collection (real robot + simulation) → Model fine-tuning and deployment
    • Detailed features of LeYun Cloud platform: Model marketplace, data management, model services
    • Experience simulation debugging: Data collection, model debugging, deployment experience
  5. Advanced Exploration: After completing the course, want to “play with a real robot”?
    • Participate in LeYun Embodied·SparkEdu training camp
    • Refer to open-source tutorial documents, and purchase teaching equipment for reproduction
Task Topic What You Will Learn Outputs
Recruitment Reference Draft 5-day practical camp announcement template Event positioning, learning objectives, schedule arrangement, registration placeholder, and final output requirements Replaceable recruitment copy before publication
Task01 Theory and Trends Definition, value, form, and industry challenges of embodied AI A scenario description or a diagram
Task02 Technical Insights Core concepts of VLA, world model, RynnBrain, and RynnRCP A technical comparison record
Task03 Demonstration Practice The basic chain from data to skills, as well as the steps for experiencing the LeCloud platform Platform screenshots + process summary
Task04 Summary Sharing Review the learning path and develop your own embodied AI application concept A application concept document

Learning Reminder

  • Necessary concept explanations have been added in the chapter, but for details on general knowledge, it is recommended to refer to the original chapter of Every-Embodied.