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Physical AI: Intelligence in the Real World
Physical AI: Intelligence in the Real World
Description
Book Introduction
This is an era where AI sees and hears with sensors, makes decisions at the edge, and moves with actuators.
It provides a balanced overview of physical AI's core technologies and industrial cases, as well as privacy, liability, and job transition issues, and proposes safe adoption principles and a governance roadmap.
Artificial Intelligence Encyclopedia.
You can find the artificial intelligence knowledge you need at aiseries.oopy.io.

index
Artificial intelligence enters reality
01 Physical AI: Intelligence in Our Lives
02 On-Device AI: The Secret of Smart Things
03 Data Finds Answers in the Field: Edge Computing
04 Physical AI's eyes, ears, arms, and legs
05 Digital Twin, a virtual world replicating reality
06 Breaking down the boundaries between reality and the virtual: Spatial computing
07 Physical AI Utilization Cases
08 A world where ambient and physical AI are widespread
09 Data Security, Privacy, and Ethics
10 Things to Prepare for in the Era of Physical AI

Into the book
Physical AI brings the intelligence of digital artificial intelligence to the real world.
This means that artificial intelligence goes beyond just thinking, but also acts, moves, and creates physical changes.
It's as if intelligent robots and self-moving smart cities, which we only saw in movies, are becoming a reality.
While digital AI, such as web search, image recognition, translation, and chatbots, primarily remain in software interactions, physical AI, such as self-driving cars, robot vacuum cleaners, robotic arms in smart factories, automatic temperature control systems in smart buildings, and medical assistant robots, directly intervene in our lives through physical interactions in the real world.
--- From "01_“Physical AI, Intelligence that Comes to Our Lives”"

In a physical AI system, intelligence is not concentrated in a single central server, but rather distributed across multiple edge devices and edge servers.
Each device or server processes data appropriate to its role and processing capabilities, and, when necessary, communicates with each other or exchanges information with the cloud, increasing the efficiency of the entire system.
--- From "03_“Data Finds Answers in the Field, Edge Computing”"

The combination of physical AI and spatial computing in industrial settings dramatically improves work efficiency.
In factories or warehouses, workers can use AR glasses to project work instructions, assembly process simulations, inventory location information, and machine fault diagnosis information directly onto the real space.
Physical AI robots can perform tasks efficiently based on this information, and workers can check the robot's status in real time and issue necessary instructions.
--- From "06_“Breaking down the boundaries between reality and the virtual, spatial computing”

If physical AI applied to core infrastructure, such as power grid management systems or smart city traffic control systems, were hacked, it could lead to large-scale chaos that could paralyze the entire city.
Therefore, physical AI systems must establish a comprehensive security system that encompasses not only software security but also hardware security and the entire operational process.
This can be strengthened through strong encryption technologies, intrusion detection and defense systems, and blockchain-based data integrity verification technologies.
--- From “09_“Data Security, Privacy, and Ethics””

Publisher's Review
Artificial intelligence becomes reality: the era of mobile intelligence.

Artificial intelligence, which used to exist only on screens, is now walking into reality.
Robot vacuum cleaners, self-driving cars, wearable devices, and logistics robots are all forms of "physical AI."
This book clearly explains how the core technologies that make up physical AI—on-device AI, edge computing, sensors and actuators, digital twins, and spatial computing—are combining to drive real-world intelligence. It demonstrates, through concrete examples, how AI is evolving beyond a simple data-calculating entity into an "action-oriented intelligence" capable of seeing, hearing, judging, and moving through real-world spaces.

At the same time, we reflect on the landscape of life, labor, cities, and ethics that technology is changing.
The changes taking place in smart homes, healthcare, manufacturing, and logistics go beyond convenience and raise questions of responsibility and trust.
This paper presents the direction that technology, industry, law, and education must take together to address the questions posed by the era of physical AI, including privacy protection, accountability for judgment errors, job transitions, and the need for social consensus. Now that AI has fully entered human life, we must consider how we will coexist with this new intelligence.
GOODS SPECIFICS
- Date of issue: October 16, 2025
- Page count, weight, size: 160 pages | 128*188mm
- ISBN13: 9791143012647
- ISBN10: 114301264X

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