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Language-controllable programmable metasurface empowered by large language models.

Shengguo Hu1, Jiawen Xu1, Mingyi Li1

  • 1State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing 100871, China.

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Summary
This summary is machine-generated.

This study introduces language-controllable programmable metasurfaces, integrating large language models (LLMs) for intelligent electromagnetic (EM) manipulation. The system autonomously performs complex EM tasks, paving the way for advanced autonomous agents.

Keywords:
EM manipulationlarge language modelsprogrammable metasurface

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Area of Science:

  • Electromagnetic Engineering
  • Artificial Intelligence
  • Materials Science

Background:

  • Programmable metasurfaces offer advanced electromagnetic (EM) manipulation capabilities for control, communication, and computing.
  • Current metasurfaces lack intelligence, requiring manual intervention and limiting autonomous operation.

Purpose of the Study:

  • To develop intelligent programmable metasurfaces capable of autonomous electromagnetic manipulation.
  • To integrate large language models (LLMs) with programmable metasurfaces for human-like intelligent control.

Main Methods:

  • Designed a proof-of-principle language-controllable programmable metasurface with 32 × 24 electronically controllable meta-atoms operating at 5.5 GHz.
  • Developed a visual-semantic map to enable language-controlled EM manipulation in 3D environments.
  • Utilized LLMs to autonomously decompose ambiguous EM manipulation tasks into executable sequences.

Main Results:

  • Demonstrated autonomous decomposition of complex EM tasks into sequential, executable operations.
  • Successfully implemented autonomous EM manipulations in real-world indoor settings.
  • Validated the system's capability for intelligent, self-directed EM control.

Conclusions:

  • The proposed language-controllable programmable metasurface integrates LLMs for autonomous EM manipulation.
  • This strategy advances programmable metasurfaces towards human-level autonomous agents for smart, multi-modality EM tasks.
  • The system shows potential for self-directed planning and action in complex electromagnetic environments.