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Vision-language model guides online calibration of an electromagnetic digital twin

A demo on a Unitree G1 robot and NVIDIA Sionna uses a vision-language model to classify materials and set conductivity priors, while gradient descent refines them from received signal strength measurements. Online waypoint planning picks the next measurement location, cutting initialization sensitivity and travel costs.

Why it matters

Illustrates how online calibration against measurements and smart measurement planning improve digital twin accuracy in changing environments.

Original headline
Demo: Vision-Language Model-Guided Online Calibration of an Electromagnetic Digital Twin
Read the original: arXiv API — полнотекстовый поиск "digital twin"

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