Electromagnetic metamaterial agent

Shengguo Hu; Mingyi Li; Jiawen Xu; Hongrui Zhang; Shanghang Zhang; Tie Jun Cui; Philipp del Hougne; Lianlin Li

doi:10.1038/s41377-024-01678-w

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Electromagnetic metamaterial agent

Original Articles

- Electromagnetic metamaterial agent
- Electromagnetic metamaterial agent
- LSA 2025年14卷第1期页码：118-130
- Affiliations：
  
  1.State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing 100871, China
  2.National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, Beijing 100871, China
  3.State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China
  4.Pazhou Laboratory (Huangpu), Guangzhou, Guangdong 510555, China
  5.Univ Rennes, CNRS, IETR - UMR 6164, F-35000 Rennes, France
- Author bio：
  
  Lianlin Li (lianlin.li@pku.edu.cn)
- Funds：
- DOI：10.1038/s41377-024-01678-w
  中图分类号：
- 纸质出版日期：2025-01-31，
  
  网络出版日期：2025-01-01，
  
  收稿日期：2024-07-09，
  
  修回日期：2024-10-24，
  
  录用日期：2024-10-28
- Accepted：
Scan QR Code
Electromagnetic metamaterial agent[J]. LSA, 2025,14(1):118-130.

Hu, S. G. et al. Electromagnetic metamaterial agent. Light: Science & Applications, 14, 118-130 (2025).
Electromagnetic metamaterial agent[J]. LSA, 2025,14(1):118-130. DOI： 10.1038/s41377-024-01678-w.

Hu, S. G. et al. Electromagnetic metamaterial agent. Light: Science & Applications, 14, 118-130 (2025). DOI： 10.1038/s41377-024-01678-w.

摘要

Abstract

Metamaterials have revolutionized wave control; in the last two decades

they evolved from passive devices via programmable devices to sensor-endowed self-adaptive devices realizing a user-specified functionality. Although deep-learning techniques play an increasingly important role in metamaterial inverse design

measurement post-processing and end-to-end optimization

their role is ultimately still limited to approximating specific mathematical relations; the metamaterial is still limited to serving as proxy of a human operator

realizing a predefined functionality. Here

we propose and experimentally prototype a paradigm shift toward a metamaterial agent (coined metaAgent) endowed with reasoning and cognitive capabilities enabling the autonomous planning and successful execution of diverse long-horizon tasks

including electromagnetic (EM) field manipulations and interactions with robots and humans. Leveraging recently released foundation models

metaAgent reasons in high-level natural language

acting upon diverse prompts from an evolving complex environment. Specifically

metaAgent's cerebrum performs high-level task planning in natural language via a multi-agent discussion mechanism

where agents are domain experts in sensing

planning

grounding

and coding. In response to live environmental feedback within a real-world setting emulating an ambient-assisted living context (including human requests in natural language)

our metaAgent prototype self-organizes a hierarchy of EM manipulation tasks in conjunction with commanding a robot. metaAgent masters foundational EM manipulation skills related to wireless communications and sensing

and it memorizes and learns from past experience based on human feedback.

关键词

Keywords

references

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