重工業的未來：數位孿生與AI代理的應用

the future of heavy Industries starts as a digital twin the AI agents helping robots workers and infrastructure

navigate unpredictable events in complex industrial spaces will be built and evaluated first in sophisticated digital

twins this Omniverse digital twin of a 100,000 ft Warehouse is operating as a simulation environment that integrates

digital workers amrs running the Nvidia Isaac perceptor stack centralized activity maps of the entire Warehouse

from 100 simulated ceiling mount cameras using Nvidia metropolis and AMR route planning with Nvidia Koop software and

loop testing of AI agents in this physically accurate simulated environment enables us to evaluate and

refine how the system adapts to realworld unpredictability here an incident occurs

along this amr's planned route blocking its path as it moves to pick up a pallet Nvidia Metropolis updates and sends a

real-time occupancy map to kopt where a new optimal route is calculated the AMR is enabled to see around corners and

improve its Mission efficiency with generative AI powered Metropolis Vision Foundation models operators can even ask

questions using natural language the visual model understands nuanced activity and can offer immediate

insights to improve operations all of the sensor data is created in simulation and and pass to the realtime AI running

as Nvidia inference microservices or Nims and when the AI is ready to be deployed in the physical twin the real

Warehouse we connect metropolis and Isaac Nims to real sensors with the ability for continuous Improvement of

both the digital twin and the AI models