Shilei Zhang

Qingdao University of Technology, Shanghai Jiao Tong University

Papers

Total Citations

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About

Shilei Zhang is a researcher working at the intersection of robotics, augmented reality, and surgical technology, with a focus on advancing both educational and clinical applications of robotic systems. Zhang's most influential contribution, "A Virtual-Physical Collision Detection Interface for AR-Based Interactive Teaching of Robot" (2020), has garnered 49 citations and represents a significant step forward in immersive, interactive robot education — blending augmented reality with physical systems to create safer and more intuitive training environments. This work addresses a critical need in robotics pedagogy, enabling learners to engage with complex robotic interactions without physical risk. Beyond education, Zhang has expanded his research into surgical robotics, investigating the feasibility and accuracy of robot-assisted procedures in craniofacial surgery. His 2022 study on robot-assisted chin osteotomy demonstrates a commitment to translating robotic precision into real-world clinical settings, comparing robotic performance against traditional surgical guide techniques in tumor resection, functional reconstruction, and anatomical correction. Though earlier in its citation trajectory, this work highlights Zhang's growing influence in medical robotics. Together, his contributions reflect a versatile research profile dedicated to making robotics more accessible, accurate, and impactful across both industrial and healthcare domains.