Physical AI 解説：連接 AI 決策與機器及機械人
Physical AI Explained: Connecting AI Decisions to Machines and Robotics.
Physical AI 將 AI 決策連接至現實世界的機器與機械人，讓人工智能在實體環境中執行決策。其流程分為識別、感測、決策和行動四個階段，可用於智能製造、預測性維護、工業機械人及自動化物流等場景。由於系統會觸發實體動作，安全措施包括授權、運作限制、人工監察、緊急停止及網絡安全。
What is Physical AI?
Physical AI is a technology that allows intelligence and AI to be applied in the physical world.
This means decisions made by AI can be performed in the real world.
How does it work?
Physical AI can have 4 stages:
Identification – Technology (RFID, BLE, UWB, Computer Vision) is used to identify assets, equipment and locations.
Sensing – Sensors provide insight into equipment and environments.
Decision – The data is analysed using AI to find issues, forecasting and recommendations.
Action – Authorized commands are sent to machines, controllers, actuators or robots.
Real world applications of this technology include:
Smart Manufacturing
Predictive Maintenance
Industrial Robotics
Automated Logistics
Equipment Monitoring
Workplace Safety
Why is safety important?
The Physical actions are not just recommendations like normal software. This means you need to ensure the system has:
Authorisation
Limits on how it runs
Manually monitored
Emergency Stop
Cyber Security
Monitoring feedback
Aperture Venture Studio are experimenting with this technology through our Physical AI and AIoT engine architecture.
Physical AI provides new opportunities to developers and industries to connect intelligent software to real world systems.
來源：DEV Community · dev.to