Embodied Intelligence: Philosophy & Implementation
Coming Soon
This lesson is currently under development. Check back soon for comprehensive content covering:
- Perception-Action Loops: How robots sense, reason, and act in continuous cycles
- World Models: Internal representations of environment state and dynamics
- Symbol Grounding Problem: Connecting abstract concepts to physical reality
- Embodied Cognition: Why having a body changes what intelligence means
- Affordances: How robots understand what actions are possible
Expected Completion: This lesson will be available soon.
Learning Objectives
By the end of this lesson, you will be able to:
- Explain embodied intelligence and how it differs from disembodied AI
- Describe perception-action loops in robot systems
- Understand world models and their role in robot reasoning
- Analyze the symbol grounding problem in Physical AI
Further Reading
- The Society of Mind by Marvin Minsky — Foundational work on intelligence
- Behavior-Based Robotics by Ronald Arkin — Classic robotics paradigms
- Embodied AI — Meta AI research on embodied agents
What's Next?
Continue to Lesson 4: Applications: From Factories to Homes to see Physical AI in action across industries.
This lesson is part of Chapter 1: Introduction to Physical AI