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 | |
| Publication status | Published - Dec 2025 |
Keywords
- autonomous operations
- control
- decision-making
- Embodied intelligence
- perception
- rail transportation
ASJC Scopus subject areas
- Automotive Engineering
- Control and Optimization
- Artificial Intelligence