Papers
9
Total Citations
133
H-Index
5
About
Huajian Song is a robotics researcher specializing in surgical robotics, kinematic calibration, and hand-eye calibration, with significant contributions to minimally invasive surgical systems. His work bridges theoretical robotics and clinical application, focusing on improving the precision, safety, and usability of surgical robot platforms. Song's most influential contribution — garnering 77 citations — introduced a universal index and an improved particle swarm optimization algorithm for optimal pose selection in kinematic calibration of surgical robots, addressing a critical challenge in robot accuracy. He has also made pioneering advances in hand-eye calibration, notably identifying for the first time a class of singular phenomena affecting existing closed-form solutions when rotation angles approach π radians, and subsequently proposing a novel singular-free solution grounded in transfer theory. His earlier work established dynamic visual window kinematics methods that align surgical robot motion with surgeons' natural visual habits in laparoscopic environments, enhancing operational intuition and safety. More recently, Song has expanded into continuum robotics, designing a cable-stayed notch manipulator for transluminal endoscopic surgery that addresses friction modeling challenges in discrete-joint systems. Collectively, his publications reflect a sustained commitment to advancing surgical robot intelligence, calibration rigor, and minimally invasive procedural capability.
Research Focus
Key Achievements
Top Papers
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- 7Master‐slave motion alignment for an open surgical console4 citations · 2018
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