Papers
3
Total Citations
76
H-Index
2
About
Xiangyan Zhang is a leading researcher in surgical robotics and human–robot safety systems, with a focus on advancing the precision and reliability of robot-assisted medical interventions. His most influential work, “Research progress and development trend of surgical robot and surgical instrument arm” (2021, 68 citations), provides a comprehensive review of the evolution of surgical robots across gynecology, urology, orthopedics, and general surgery, establishing a foundational reference for the field. Zhang has also made critical contributions to mechanical safety through “Human Position Detection Based on Depth Camera Image Information in Mechanical Safety” (2022), where he proposed a depth-camera-based method to overcome the limitations of traditional safety devices, enhancing the ability to distinguish humans from equipment. His recent work, “Forward solution algorithm of Fracture reduction robots based on Newton-Genetic algorithm” (2025), tackles the computational challenges of parallel fracture reduction robots, introducing a hybrid algorithm that improves both speed and accuracy—a significant step forward for robot-assisted fracture correction. With a career marked by innovative problem-solving and a clear translational impact, Zhang’s research continues to shape the future of surgical robotics and human–robot interaction.
Research Focus
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