Papers
11
Total Citations
175
H-Index
8
About
Zhangjun Song is a robotics researcher whose work spans medical robotics, mobile robot systems, and pipeline inspection technologies. His most significant contributions lie at the intersection of robotic precision and real-world clinical and industrial applications. In medical robotics, Song developed a groundbreaking three-dimensional ultrasound image-guided robotic system for microwave ablation of malignant liver tumors, overcoming critical limitations of conventional 2D imaging and earning 53 citations — his most-cited work to date. He further extended surgical robotics into orthopedic and spinal domains, contributing a six-degrees-of-freedom robotic spinal surgery system and a model-based bone drilling state recognition method designed to improve safety in high-risk procedures. Beyond medical applications, Song has made notable advances in mobile robotics, including kinematic modeling of wheeled robots operating in cylindrical workspaces (38 citations) and the design of adaptive outdoor robots with diameter-variable wheels. His pipeline inspection research introduced innovative uses of 2D laser range finders for deformation detection and robot posture estimation. Song also explored service robotics, developing catering and domestic robots integrating autonomous navigation and multi-sensor fusion. Collectively, his body of work reflects a versatile research vision aimed at deploying intelligent robotic systems across healthcare, infrastructure, and everyday environments.
Research Focus
Key Achievements
Top Papers
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- 3Catering service robot17 citations · 2010
- 4Kinematics and cooperative control of a robotic spinal surgery system16 citations · 2014
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- 9Domestic robots with multi-function and safe internet connectivity5 citations · 2009
- 10Motion performance analysis of wheeled in-pipe robots based on ABAQUS4 citations · 2013