Zewen Wu

Air Force Medical University, Simon Fraser University, Xi'an Jiaotong University

Papers

Total Citations

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About

Zewen Wu is a pioneering researcher at the intersection of robotic surgery and intelligent healthcare systems, with key contributions spanning surgical robotics, human-robot interaction, and autonomous manipulation. His most impactful work, a 2024 study comparing robotic and dynamic navigation systems in dental surgery (16 citations), demonstrated that robotic systems achieve superior accuracy in osteotomy and root-end resection while reducing treatment time—a finding with significant implications for minimally invasive surgical practice. Wu's earlier research on a drip-stand patient follower robot (6 citations) addressed critical mobility challenges in healthcare settings, advancing the design of service robots for patient assistance. In autonomous manipulation, his 2023 work on prioritized planning via hierarchical stacking relationship prediction (4 citations) introduced novel methods for robots to safely and efficiently grasp multiple targets in cluttered environments. This research has direct applications in surgical tool handling and laboratory automation. Wu's work uniquely bridges surgical precision engineering with intelligent robotic systems, establishing him as an emerging leader in medical robotics whose innovations are shaping the future of automated healthcare delivery.