Emerging Multimodal Artificial Sensory Fusion Paradigms Toward Advanced Embodied Intelligence

ABSTRACT In the endeavor of embodied intelligence to connect the digital world and physical reality, artificial multimodal sensory fusion has emerged as a cornerstone for endowing agents with robust perception and natural interaction capabilities. Specifically, multisensory fusion constructs a biomimetic sensing framework capable of parallel acquisition and processing of multi‐source information. Such architectures augment information perception and ensure higher decision‐making reliability within complex environments. However, a systematic review of this rapidly evolving field is noticeably absent. This review bridges this gap by providing a comprehensive analysis of various multimodal sensory fusion approaches. We introduce the configurations of multimodal sensory fusion, as well as the operating mechanisms of sensors and artificial synapses. In particular, various biomimetic multimodal fusion paradigms are critically analyzed, such as visual‐tactile and visual‐olfactory fusion, with detailed discussions of their device structure and fusion mechanisms. These multisensory fusion systems show great potential in various application fields. Finally, the emerging opportunities are discussed and outlined. By highlighting the critical potential of multimodal sensing fusion, this review aims to inspire further research on fusion strategies and practical applications, facilitating the evolution of embodied intelligence toward more human level.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2026-07-22
DOI
https://doi.org/10.1002/adma.74199
Primary Topic
Olfactory and Sensory Function Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Emerging Multimodal Artificial Sensory Fusion Paradigms Toward Advanced Embodied Intelligence

Tianyou Zhai, Huiqiao Li, X Zhao, H G Chen et al.
Advanced Materials
Olfactory and Sensory Function Studies
article

Emerging Multimodal Artificial Sensory Fusion Paradigms Toward Advanced Embodied Intelligence

Tianyou Zhai, Huiqiao Li, X Zhao, H G Chen, Yuan Li, Y P Guo, Yihua Huang
article en

Abstract

ABSTRACT In the endeavor of embodied intelligence to connect the digital world and physical reality, artificial multimodal sensory fusion has emerged as a cornerstone for endowing agents with robust perception and natural interaction capabilities. Specifically, multisensory fusion constructs a biomimetic sensing framework capable of parallel acquisition and processing of multi‐source information. Such architectures augment information perception and ensure higher decision‐making reliability within complex environments. However, a systematic review of this rapidly evolving field is noticeably absent. This review bridges this gap by providing a comprehensive analysis of various multimodal sensory fusion approaches. We introduce the configurations of multimodal sensory fusion, as well as the operating mechanisms of sensors and artificial synapses. In particular, various biomimetic multimodal fusion paradigms are critically analyzed, such as visual‐tactile and visual‐olfactory fusion, with detailed discussions of their device structure and fusion mechanisms. These multisensory fusion systems show great potential in various application fields. Finally, the emerging opportunities are discussed and outlined. By highlighting the critical potential of multimodal sensing fusion, this review aims to inspire further research on fusion strategies and practical applications, facilitating the evolution of embodied intelligence toward more human level.

Advanced Materials
Shenzhen Institute of Information Technology (CN), Huazhong University of Science and Technology (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 10%
Olfactory and Sensory Function Studies
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.