Embodied Intelligence-Based Perception, Decision-Making, and Control for Autonomous Operations of Rail Transportation

Min Zhou; Hairong Dong; Haifeng Song; Nan Zheng; Wen Hua Chen; Hongwei Wang

doi:10.1109/TIV.2024.3517335

Embodied Intelligence-Based Perception, Decision-Making, and Control for Autonomous Operations of Rail Transportation

Min Zhou
, Hairong Dong^*
, Haifeng Song
, Nan Zheng
, Wen Hua Chen
, Hongwei Wang

^*Corresponding author for this work

School of Electronic and Information Engineering

Beijing Jiaotong University
CAS - Institute of Automation
Loughborough University

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

This perspective proposes a framework for autonomous operations of rail transportation based on embodied intelligence to enhance environmental adaptation and autonomous decision-making capabilities. Three key technologies are outlined to enable perception, decision-making, and control in rail transportation, i.e., embodied perception for active environmental understanding, embodied execution, and embodied learning and evolution. It also explores the main challenges of implementing embodied intelligence-based autonomous operations. The proposed framework offers new insights and directions for practitioners in the rail transportation industry.

Original language	English
Pages (from-to)	5061-5065
Number of pages	5
Journal	IEEE Transactions on Intelligent Vehicles
Volume	10
Issue number	12
DOIs	https://doi.org/10.1109/TIV.2024.3517335
State	Published - Dec 2025

Keywords

Embodied intelligence
autonomous operations
control
decision-making
perception
rail transportation

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10.1109/TIV.2024.3517335

Cite this

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title = "Embodied Intelligence-Based Perception, Decision-Making, and Control for Autonomous Operations of Rail Transportation",

abstract = "This perspective proposes a framework for autonomous operations of rail transportation based on embodied intelligence to enhance environmental adaptation and autonomous decision-making capabilities. Three key technologies are outlined to enable perception, decision-making, and control in rail transportation, i.e., embodied perception for active environmental understanding, embodied execution, and embodied learning and evolution. It also explores the main challenges of implementing embodied intelligence-based autonomous operations. The proposed framework offers new insights and directions for practitioners in the rail transportation industry.",

keywords = "Embodied intelligence, autonomous operations, control, decision-making, perception, rail transportation",

author = "Min Zhou and Hairong Dong and Haifeng Song and Nan Zheng and Chen, \{Wen Hua\} and Hongwei Wang",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.",

year = "2025",

month = dec,

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T1 - Embodied Intelligence-Based Perception, Decision-Making, and Control for Autonomous Operations of Rail Transportation

AU - Zhou, Min

AU - Dong, Hairong

AU - Song, Haifeng

AU - Zheng, Nan

AU - Chen, Wen Hua

AU - Wang, Hongwei

PY - 2025/12

Y1 - 2025/12

N2 - This perspective proposes a framework for autonomous operations of rail transportation based on embodied intelligence to enhance environmental adaptation and autonomous decision-making capabilities. Three key technologies are outlined to enable perception, decision-making, and control in rail transportation, i.e., embodied perception for active environmental understanding, embodied execution, and embodied learning and evolution. It also explores the main challenges of implementing embodied intelligence-based autonomous operations. The proposed framework offers new insights and directions for practitioners in the rail transportation industry.

AB - This perspective proposes a framework for autonomous operations of rail transportation based on embodied intelligence to enhance environmental adaptation and autonomous decision-making capabilities. Three key technologies are outlined to enable perception, decision-making, and control in rail transportation, i.e., embodied perception for active environmental understanding, embodied execution, and embodied learning and evolution. It also explores the main challenges of implementing embodied intelligence-based autonomous operations. The proposed framework offers new insights and directions for practitioners in the rail transportation industry.

KW - Embodied intelligence

KW - autonomous operations

KW - control

KW - decision-making

KW - perception

KW - rail transportation

UR - https://www.scopus.com/pages/publications/105025696726

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ER -

Embodied Intelligence-Based Perception, Decision-Making, and Control for Autonomous Operations of Rail Transportation

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Keywords

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