Autonomous Intelligent Metasurface for Wireless Communications and Contactless Human Sensing

ABSTRACT Metamaterials and metasurfaces have revolutionized the electromagnetic (EM) wave control, and programmable metasurfaces enabled dynamic manipulation of wavefronts. However, the current programmable metasurfaces lack autonomous intelligence and rely heavily on manual control or pre‐specified rule sets, limiting the self‐adaptability in dynamic scenarios. Here, we propose an autonomous intelligent metasurface (AIM) that seamlessly integrates the programmable metasurface with the large language model (LLM)‐based reasoning, multimodal control, and closed‐loop feedback. Inspired by human cognition, AIM is structured into six functional modules to mimic the ear, brain, eye, hand, neuron, and mouth, which enable natural language interaction, environmental understanding, and autonomous EM manipulation. Notably, AIM supports integrated sensing and communication using widely‐used WiFi signals, realizing simultaneous data transmissions and real‐time human vital‐sign monitoring without modifying the communication protocols. Demonstrated in smart indoor settings, AIM can provide us with a transformative framework for intelligent and user‐driven EM interaction, with broad potential for future applications in smart homes, healthcare, and human‐machine interfaces.

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2026-03-21
DOI
https://doi.org/10.1002/adfm.202525849
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Autonomous Intelligent Metasurface for Wireless Communications and Contactless Human Sensing

S. Li, Xinyu Li, Qin Mao, Kezhan Zhao et al.
Advanced Functional Materials
Metamaterials and Metasurfaces Applications
article

Autonomous Intelligent Metasurface for Wireless Communications and Contactless Human Sensing

S. Li, Xinyu Li, Qin Mao, Kezhan Zhao, Lianlin Li, Tie Jun Cui, Long Chen, Jian Wei You, Zhewei Huang
article en

Abstract

ABSTRACT Metamaterials and metasurfaces have revolutionized the electromagnetic (EM) wave control, and programmable metasurfaces enabled dynamic manipulation of wavefronts. However, the current programmable metasurfaces lack autonomous intelligence and rely heavily on manual control or pre‐specified rule sets, limiting the self‐adaptability in dynamic scenarios. Here, we propose an autonomous intelligent metasurface (AIM) that seamlessly integrates the programmable metasurface with the large language model (LLM)‐based reasoning, multimodal control, and closed‐loop feedback. Inspired by human cognition, AIM is structured into six functional modules to mimic the ear, brain, eye, hand, neuron, and mouth, which enable natural language interaction, environmental understanding, and autonomous EM manipulation. Notably, AIM supports integrated sensing and communication using widely‐used WiFi signals, realizing simultaneous data transmissions and real‐time human vital‐sign monitoring without modifying the communication protocols. Demonstrated in smart indoor settings, AIM can provide us with a transformative framework for intelligent and user‐driven EM interaction, with broad potential for future applications in smart homes, healthcare, and human‐machine interfaces.

Advanced Functional Materials
Peking University (CN), Southeast University (CN)
Openalex Percentile: Top 15%
Metamaterials and Metasurfaces Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.