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.