Yunhua Gan
Papers
3
Total Citations
16
H-Index
2
About
Yunhua Gan is a leading researcher in intelligent robotics, with a focus on autonomous navigation and inspection systems for complex industrial environments. His major contributions lie at the intersection of simultaneous localization and mapping (SLAM), large language models (LLMs), and path planning for mobile robots. Gan pioneered a hybrid-dimensional laser SLAM framework for quadruped robots, enabling them to leverage their unique balance of flexibility and load capacity for industrial inspections—a work that has already garnered 11 citations since its 2024 publication. He further advanced the field by introducing InspectionGPT, a novel system that integrates LLMs to imbue inspection robots with advanced cognitive and decision-making capabilities for task planning in dynamic settings. Additionally, his Path-Follower-2 system addresses the critical challenge of autonomous navigation for large, heavy robots in narrow environments, overcoming limitations in global path planning and obstacle avoidance. Through these innovations, Yunhua Gan is shaping the next generation of autonomous inspection robots, making them smarter, more adaptable, and more reliable for real-world industrial applications.
Research Focus
Key Achievements
Top Papers
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