Textbook Blueprint: Physical AI & Humanoid Robotics
This document outlines the structure of the textbook.
Part 1: Foundations of Embodied Intelligence
Chapter 1: Introduction to Physical AI
- Section 1.1: What is Physical AI? (Defining Embodiment, Situatedness, and Interaction)
- Section 1.2: A Brief History of AI and Robotics
- Section 1.3: The Perception-Action Loop: A Core Concept
- Exercises:
- Compare and contrast symbolic AI with physical AI.
- Analyze a simple robotic system in terms of its perception-action loop.
- Case Study: The story of Shakey the Robot.
Chapter 2: Humanoid Robotics: Hardware and Morphology
- Section 2.1: Actuators and Sensors: The Building Blocks of Movement
- Section 2.2: Kinematics and Dynamics: The Science of Motion
- Section 2.3: Power Systems and Energy Efficiency
- Exercises:
- Calculate the degrees of freedom for a simple robotic arm.
- Research and compare different types of robotic actuators.
- Case Study: The design of the ASIMO robot.
Part 2: Core Principles of Autonomous Control
Chapter 3: Locomotion and Control
- Section 3.1: Principles of Bipedal Locomotion (ZMP, LIPM)
- Section 3.2: Advanced Control Strategies (Model Predictive Control)
- Section 3.3: Grasping and Manipulation
- Exercises:
- Implement a simple inverted pendulum model in Python.
- Simulate a grasping task using a robotics toolkit.
- Case Study: Boston Dynamics' Atlas: A leap in dynamic balancing.
Chapter 4: AI for Robotics: From Learning to Reasoning
- Section 4.1: Foundation Models for Robotics
- Section 4.2: World Models and Predictive Control
- Section 4.3: Multi-modal Reasoning for Physical Agents
- Exercises:
- Train a simple neural network to recognize objects from images.
- Design a state machine for a simple robotic task.
- Case Study: Integrating large language models with robotic control.
Part 3: Advanced Topics and Future Directions
Chapter 5: Safety, Ethics, and Human-Robot Interaction
- Section 5.1: Safety Standards in Robotics
- Section 5.2: Ethical Considerations for Physical AI
- Section 5.3: The Future of Human-Robot Collaboration
- Exercises:
- Debate the ethical implications of autonomous decision-making in robots.
- Design a user interface for controlling a robotic arm.
- Case Study: The role of cobots (collaborative robots) in manufacturing.