Feifei Kong
Papers
1
Total Citations
10
H-Index
1
About
Feifei Kong is a researcher advancing the field of mobile visual inspection through innovative path planning methodologies. Her work centers on optimizing the efficiency and coverage of robotic systems for visual data collection, with a particular focus on the interplay between station placement and viewpoint selection. In her most-cited paper, "Station-viewpoint joint coverage path planning towards mobile visual inspection" (2024), Kong introduces a novel framework that simultaneously optimizes the positioning of inspection stations and the viewpoints of mobile sensors, ensuring comprehensive coverage while minimizing redundant motion. This contribution addresses critical challenges in industrial inspection, infrastructure monitoring, and autonomous navigation, where thorough visual coverage is essential for defect detection and structural assessment. With 10 citations in a short time, her research is gaining traction for its practical relevance and algorithmic elegance. Kong’s work bridges robotics, computer vision, and operations research, offering scalable solutions for real-world applications. Her achievements highlight a promising trajectory in autonomous systems, making her a rising voice in the integration of planning and perception for mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1