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Lecture 2 Resources Hub

Lecture Materials & Resources Center

Jointly released by Silicon Valley Quantum AI Lab, NACUAA AI Club, and ZJUAANC

To facilitate our alumni and friends in accessing the lecture slides and related strategic/technical reference materials for the 'Embodied Intelligence & Physical AI' Lecture 2, we provide high-speed download channels on both zju.fyi and ai.nacuaa.org. If one site is slow, please try the mirror link on the other site.

Part 1: Lecture Slides

【Slides】Embodied Intelligence & Physical AI Lecture 2 (Chinese)

Speaker Michael Huo's lecture slides (Chinese version), detailing the evolution from VLA to World Models.

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【Slides】Embodied Intelligence & Physical AI Lecture 2 (English)

Speaker Michael Huo's lecture slides (English version), providing a complete English technical breakdown.

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Part 2: Strategic & Technical References

【Lecture 3 Slides】Embodying AI with StackChan Hands-on Guide

Speaker Michael Huo Lecture 3 slides: Hands-on guide to embodied AI using StackChan desktop AI robot.

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【Lecture 3 Keynote】AI Engineering Paradigm Evolution: From Prompt to Graph

In-depth architecture whitepaper detailing the evolution from Prompt to Loop and Graph Engineering.

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Physical AI Blueprint & Architecture

Comprehensive Physical AI blueprint covering physical perception, closed-loop brain control, and edge agency.

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Crossing the AI Digital & Physical Boundary

Architectural roadmap detailing how software AI agents cross the digital divide into physical embodiment.

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From Code to Reality: Embodied AI Deployment

Best engineering practices for deploying embodied AI from algorithmic models to physical robot hardware.

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Hermes Local AI Agent Engine Architecture

Local edge-run AI Agent engine architecture and multi-task scheduling mechanisms.

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Hermes Local AI System Architecture

System architecture design for lightweight local LLM/VLM edge deployment and ultra-low latency execution.

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OpenClaw Autonomous AI Agents Guide

OpenClaw autonomous agent framework design, tool orchestration, and zero-cost deployment playbook.

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OpenClaw Agent Action & Execution

Detailed breakdown of OpenClaw agent action selection, environment perception, and feedback loops.

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StackChan Embodied AI Foundations

Fundamentals of StackChan desktop robot control, sensor alignment, and servo motor drivers.

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The Kinetic Blueprint: Physical AI Control

Kinematic modeling, force control, and high-precision motion planning for Physical AI robotics.

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Physical AI Strategic Blueprint

Analyzing the global industry landscape and strategic blueprints for Physical AI and humanoid robotics in 2026.

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Architecting Physical AI Technical Paper

Delving into physical AI architecture design, including end-to-end closed-loop control and multimodal perception.

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2026 Physical AI Industrialization

Case studies on physical AI deployments on factory floors and large-scale industrial pipeline integration in 2026.

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2026 Physical AI Deployment Guide

Explaining deployment workflows for physical agents on edge devices and humanoid robot hardware.

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Paradigm Evolution: VLA to World Models

A systematic overview of the paradigm transition from Vision-Language-Action models to physical World Models.

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Physical AI Evolution Whitepaper

Long-term tech evolution roadmap for Physical AI, covering multimodal world foundation models and physics simulation.

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Note: All strategic and technical readings are in PDF format (with CN/EN versions or academic papers) for academic exchange and industry research.