Xiaojun Shi
Papers
9
Total Citations
48
H-Index
4
About
Xiaojun Shi is a pioneering robotics researcher whose work spans autonomous surgical systems, rehabilitation robotics, and multi-robot coordination. His most significant contributions lie in developing intelligent robotic platforms for ophthalmology, particularly in corneal transplantation (keratoplasty). Shi’s groundbreaking AIRS (Autonomous Intraoperative Robotic Suturing) system, detailed in his 2023 paper, replicates surgeon-like operations with submillimeter precision, directly addressing challenges of surgeon fatigue and physiological tremor during delicate suturing tasks. His complementary research on intraoperative cornea-instrument-robot interaction and kinematic analysis has established foundational frameworks for automating complex surgical subtasks. Beyond ophthalmology, Shi has advanced brain-computer interfaces for rehabilitation, demonstrating in a 2024 study how EEG signals can detect lower limb movement intentions enhanced by virtual reality—a promising approach for active neurorehabilitation. His work on multi-robot navigation using graph attention neural networks and firefighting robot jet simulation via computational fluid dynamics showcases versatility across medical and industrial applications. With papers accumulating citations across top venues, Shi’s research portfolio reflects a career dedicated to translating robotic autonomy into tangible clinical and operational benefits, making him a leading figure in surgical robotics and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 5CFD-based numerical simulation method of fire-fighting robot jet3 citations · 2021
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