LNAI 3139 Embodied Artificial Intelligence 1st edition by Yasuo Kuniyoshi, Rolf Pfeifer, Luc Steels, Fumiya Iida ISBN 354022484X  978-3540224846

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ISBN 10:  354022484X
ISBN 13: 978-3540224846
Author:  Yasuo Kuniyoshi, Rolf Pfeifer, Luc Steels, Fumiya Iida 

Originating from a Dagstuhl seminar, the collection of papers presented in this book constitutes on the one hand a representative state-of-the-art survey of embodied artificial intelligence, and on the other hand the papers identify the important research trends and directions in the field.

LNAI 3139 – Embodied Artificial Intelligence 1st Table of contents:

Preface

• Introduction to Embodied AI
• The Importance of Physical Presence in Cognitive Systems
• Overview of Topics and Structure of the Book

Chapter 1: Introduction to Embodied Artificial Intelligence

• Definition of Embodied AI
• The Role of Embodiment in Cognitive Processes
• Historical Overview of Embodied Intelligence
• Applications and Examples of Embodied AI Systems

Chapter 2: Fundamentals of Robotics and AI Integration

• Basic Concepts in Robotics and AI
• Perception and Sensing in Embodied Systems
• Motion and Actuation Mechanisms
• Interaction with the Environment

Chapter 3: Cognitive and Developmental Embodiment

• Theories of Embodied Cognition
• Early Cognitive Development in Robots
• Sensorimotor Integration and Learning
• Developmental Robotics: Building Intelligence from Interaction

Chapter 4: Human-Robot Interaction (HRI)

• Key Principles of Human-Robot Interaction
• Social and Collaborative Robots
• Communication Modalities: Gesture, Speech, and Non-Verbal Cues
• Ethical Considerations in HRI

Chapter 5: Perception and Sensorimotor Integration

• Visual and Auditory Perception in Embodied AI
• Multimodal Sensing and Integration
• Proprioception and Kinesthetic Feedback
• Real-Time Decision Making

Chapter 6: Learning and Adaptation in Embodied Systems

• Machine Learning Techniques for Embodied AI
• Reinforcement Learning in Robotic Systems
• Adaptation to Dynamic Environments
• Self-Organization and Autonomy in Robots

Chapter 7: Embodied AI in Autonomous Systems

• Autonomous Navigation and Path Planning
• Exploration and Mapping in Unstructured Environments
• Decision-Making in Complex Scenarios
• Swarm Robotics and Collective Intelligence

Chapter 8: Case Studies and Applications of Embodied AI

• Robotic Assistants and Service Robots
• Embodied AI in Healthcare (e.g., rehabilitation robots)
• Autonomous Vehicles
• AI in Prosthetics and Assistive Technologies

Chapter 9: Challenges in Embodied AI

• Hardware and Software Limitations
• Scaling Cognitive and Sensorimotor Abilities
• Safety and Robustness of Embodied Systems
• Ethics of Embodied AI: Human Impact and Acceptance

Chapter 10: The Future of Embodied Artificial Intelligence

• Advancements in AI and Robotics Integration
• The Potential of AI and Robotics in Everyday Life
• Future Directions and Research in Embodied AI
• The Role of Embodied AI in Achieving AGI (Artificial General Intelligence)

Appendices

• Mathematical Foundations for Robotics and AI
• Further Reading on Embodied Cognition and Robotics
• Glossary of Key Terms in Embodied AI

Index

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