This book provides a systematic overview of the mainstream technical approaches in embodied intelligence, constructing a comprehensive knowledge framework. It offers in-depth explanations of key embodied AI technologies, including perception, navigation, manipulation, and planning, as well as multi-agent interaction, communication, and cooperation. By doing so, it establishes a structured learning architecture for researchers, engineers, and students in the fields of robotics and embodied AI.

This book is divided into eight chapters, with the content organized in a progressive manner from basic to advanced concepts, aiming to build a comprehensive cognitive framework for readers in the field of embodied intelligence, covering both theoretical systems and practical methods. Chapter 2 focuses on the foundational technical system of embodied intelligence, highlighting core content such as 3D spatial representation, reinforcement learning methods, and large model technologies. These foundational technologies form the theoretical backbone of current embodied intelligence algorithms, and a deep understanding of them is a crucial prerequisite for grasping the subsequent content. Chapters 3 to 7 systematically introduce the key technical systems of embodied intelligence from five dimensions: perception, navigation, manipulation, planning, and collaboration. Chapter 8, oriented towards practice, focuses on the implementation paths of embodied intelligence in simulation platforms.

The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.