Papers
2
Total Citations
21
H-Index
2
About
Dr. Gaofeng Pan is a researcher whose work bridges precision engineering and intelligent robotics, with a focus on large-scale cable-driven mechanisms and AI-enhanced human–robot interaction. His early contributions include pioneering performance testing of the cable robot system for China’s Five-hundred-meter Aperture Spherical Radio Telescope (FAST), the world’s largest radio telescope. His 2017 study on FAST’s cable robot, cited 13 times, provided critical insights into the system’s running and operational stability, supporting the telescope’s groundbreaking astronomical observations. More recently, Dr. Pan has advanced the field of intelligent robotics by developing a text-guided object detection method based on an improved YOLO-World architecture. This 2024 work, already garnering 8 citations, tackles the challenge of rapid, accurate target recognition in dynamic human–robot collaboration scenarios, enhancing robot navigation and operational efficiency. By integrating natural language cues with visual detection, his approach promises to make robots more responsive and context-aware. Dr. Pan’s research trajectory—from massive astronomical infrastructure to cutting-edge AI in robotics—demonstrates a versatile commitment to solving real-world engineering challenges, with growing impact in both mechanical design and autonomous systems.
Research Focus
Key Achievements
Top Papers
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