Papers
2
Total Citations
11
H-Index
2
About
Feng Chun is a researcher specializing in robotic vision and space robotics, with a particular focus on calibration techniques and autonomous target capture. His work addresses critical challenges in hand-eye coordination for robotic systems, where precise alignment between a robot's manipulator and its visual sensors is essential. In a notable contribution, Feng developed a novel method that combines camera calibration with hand-eye calibration into a single, streamlined process, eliminating the need for separate, time-consuming steps. This approach, detailed in his 2010 paper (4 citations), simplifies the calibration of monocular vision systems in hand-eye robots, offering a more convenient and efficient solution for real-world applications. Building on this foundation, Feng extended his research to the challenging domain of space robotics, proposing a binocular stereo vision-based method for target capture by free-floating space robots (2011, 7 citations). His work has practical implications for autonomous satellite servicing and debris removal. With a total of 11 citations across his most-cited papers, Feng’s contributions are foundational for researchers and engineers developing vision-guided robotic systems, particularly in unstructured environments where calibration accuracy and operational autonomy are paramount.
Research Focus
Key Achievements
Top Papers
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