Wanfeng Sun
Papers
1
Total Citations
3
H-Index
1
About
Dr. Wanfeng Sun is a pioneering researcher in intelligent robotics and autonomous systems, with a focus on unmanned infrastructure inspection and maintenance. Their key research areas include predictive state assessment, path planning, and deep reinforcement learning for robotic operations in complex, island-based environments. Dr. Sun’s major contribution is the development of an integrated framework that combines Conv2D-PSE-iTransformer for equipment state prediction, Dynamic Analytic Hierarchy Process (D-AHP) for health assessment, and deep reinforcement learning for adaptive path planning. This work directly addresses the critical challenge of enabling robots to autonomously inspect and maintain unmanned substations, significantly enhancing operational safety and efficiency. Although their most-cited paper, published in 2025, has garnered 3 citations to date, it represents a foundational step toward scalable, self-sufficient robotic systems in energy infrastructure. Dr. Sun’s innovative synthesis of predictive modeling, multi-criteria decision-making, and reinforcement learning marks a notable achievement, positioning them as a rising expert in the intersection of robotics and smart grid technology. Their research holds promise for reducing human intervention in hazardous environments and advancing the next generation of autonomous industrial systems.
Research Focus
Key Achievements
Top Papers
- 1