July 23, 2026 · Announcement

【Public Lecture｜Zoom】Embodied Intelligence & Physical AI Lecture 3: Getting Started with StackChan + Loop Engineering to Graph Engineering

Speaker: Michael Huo

Silicon Valley Quantum AI Lab Public Lecture Series

Lecture 3: Getting Started with StackChan Desktop Robot (Hands-on Practice)

Embodied Intelligence & Physical AI Lecture 3 is officially open!

While the first session established overall cognitive framework, and the second analyzed the paradigm shift from VLA to World Models, this session will focus on real-world implementation. Using the open-source desktop AI robot StackChan as a vehicle, we will help even zero-experience listeners quickly get started with Physical AI.

📅 Date & Time

Pacific Time (PDT): Aug 1 (Sat) 5:30 PM – 6:30 PM
Eastern Time (EDT): Aug 1 (Sat) 8:30 PM – 9:30 PM
Beijing Time (CST): Aug 2 (Sun) 8:30 AM – 9:30 AM

Free public Zoom lecture with limited slots. Scan WeChat QR code below to join the group and receive the Zoom invitation link.

🎯 Core Contents

Why now is the best time for everyone to start with Embodied AI
StackChan demonstration for absolute beginners (voice, expressions, simple Agent tasks)
How to make a desktop robot have memory and personality
Latest developments (August 2026): Engineering paradigms shift from Loop Engineering to Graph Engineering
Actionable steps and common pitfalls for beginners

Perfect for alumni and friends interested in hands-on AI projects. All are welcome to share!

🎓 Embodied Intelligence & Physical AI Lecture Series Comparison

To help you better understand the overall technical progression and choose the learning path that suits you, here is a structured comparison of our 3 sessions:

Session	Date	Topic	Key Question	Focus Area	Target Audience
Lecture 1	Jun 20	Embodied Intelligence & Physical AI: 2026 Trends & Applications	What is it? Where are we today?	Foundational concepts & industry landscapes	Beginners seeking a comprehensive overview
Lecture 2	Jul 18	Paradigm Evolution from VLA to World Models	Why evolve? How does it happen?	Deep dive into technology paradigm shifts	Professionals looking for logic & trends
Lecture 3	Aug 1	Getting Started with StackChan: Hands-on Practice + Loop to Graph Engineering	How to build and implement?	Hands-on practice & latest engineering patterns	Developers wanting practical experience

📖 Detailed Outlines & Focus Areas

Lecture 1 (Jun 20): Embodied Intelligence & Physical AI: 2026 Trends & Applications

Positioning: Introductory course to build overall cognitive framework

Core concepts of Embodied Intelligence and Physical AI
Perception-Decision-Action closed-loop systems
Introduction to VLA models and World Models
NVIDIA ecosystem and digital twins
Humanoid robot platform landscapes (Figure, Tesla Optimus, Boston Dynamics, etc.)
Application scenarios and current bottlenecks

Summary: Explaining "What is it" to build basic cognitive frameworks across the field.

Lecture 2 (Jul 18): Paradigm Evolution from VLA to World Models

Positioning: Advanced depth session analyzing paradigm transitions

Evolution path of LLMs and multimodal models
Strengths and constraints of traditional VLA architectures
Core concepts and origin of World Models
Breakthroughs in World Action Models (WAMs)
Latest developments from 2026 WAIC & AGI conferences
NVIDIA Cosmos 3 and other key technical updates
Humanoid robots deployment case studies
Complementary relations and future trends between VLA and World Models

Summary: An in-depth analysis of VLA limitations and World Models strengths, answering "Why & How it evolves."

Lecture 3 (Aug 1): Getting Started with StackChan: Hands-on Practice + Loop to Graph Engineering

Positioning: Practical course emphasizing "anyone can build projects"

Why now is the prime time for beginners to enter Embodied AI
Introduction to StackChan open-source robot
Hands-on Demo: Voice conversation, expression controls, simple Agent tasks, and memory customization
Common pitfalls and debugging paths for beginners
August 2026 Latest Update: Loop Engineering concepts ➜ Graph Engineering upgrades for engineering scaling
Implementing the new paradigm onto your StackChan robot
Next action items and recommendations

Summary: Real hardware project practice answering "How to build" and introducing cutting-edge engineering paradigms.

💡 Learning Recommendations & Sequence

Absolute Beginners: We highly recommend following the chronological order: Lecture 1 ➜ Lecture 2 ➜ Lecture 3.
Hands-on Builders: If you want to dive straight into building your own robot, feel free to skip directly to Lecture 3.
Theoretical Explorers: If you want to understand the core logic of Technical Paradigm evolution, pay special attention to Lecture 2.

🤝 Co-Organizers

Hosts: Silicon Valley Quantum AI Lab, ZJUAA NC, NACUAAN Northern California Chapter
Organizers: AI Agent Alliance, VI AI Foundation, VI AI for Good Foundation, NACUAAN AI Entrepreneurship Club
Co-Hosts: NACUAAN North Carolina, South Carolina, Silicon Valley, and Southern California Chapters; ZJUAAs of Tennessee, Philadelphia, Rhode Island, and Florida
Media Support: North Alpha Post (北美发布)