Special Session-16

Special Session Organizers: 

Assistant Prof. Laihao Yang, Xi’an Jiaotong University, China

Assoc. Prof. Jun Dai, Beijing Institute of Technology, China

Assoc. Prof. Xin Zhang, Southwest Jiaotong University, China

Assoc. Prof. Yu Sun, Xi’an Jiaotong University, China

Introduction and Topics:

This special session focuses on emerging theories, technologies, and applications of embodied robotic intelligence for equipment monitoring, diagnosis, and maintenance. As complex equipment systems become increasingly integrated, high-value, and safety-critical, conventional monitoring and diagnosis methods based on fixed sensors or offline inspection are no longer sufficient for confined, hazardous, and dynamically changing environments. Embodied robotic intelligence provides a new paradigm by integrating robotic mobility, manipulation, multimodal perception, physical interaction, intelligent diagnosis, and autonomous maintenance decision-making.

The session welcomes contributions on robotic inspection systems, embodied perception, multimodal sensing, fault diagnosis, digital twins, physics-informed learning, autonomous planning and control, foundation model-enabled maintenance intelligence, human–robot collaboration, and real-world applications in aerospace, energy, transportation, manufacturing, and infrastructure systems. The goal is to promote interdisciplinary exchange between robotics, artificial intelligence, equipment health management, and intelligent operation and maintenance.

Topics of interest include, but are not limited to:

• Embodied robotic systems for equipment inspection, diagnosis, and maintenance
• Multimodal embodied perception and active sensing for equipment health monitoring
• Robot-assisted fault detection, diagnosis, prognostics, and health assessment
• Digital twins and physics-informed learning for intelligent maintenance
• Autonomous planning, control, and decision-making for robotic maintenance tasks
• Foundation models, world models, and human–robot collaboration for intelligent operation and maintenance
• Field applications, benchmarks, and validation in aerospace, energy, manufacturing, transportation, and infrastructure systems