Papers
5
Total Citations
76
H-Index
5
About
Dr. Junlei Hu is a leading researcher in surgical robotics and computer-assisted intervention, with a focus on autonomous manipulation, calibration, and realistic simulation for maxillofacial and orthopedic surgery. Dr. Hu’s most impactful work includes the development of an automatic robot-world calibration method for optical-navigated surgical robots, applied to oral implant placement (43 citations), which has become a foundational reference in the field. More recently, Dr. Hu has advanced collaborative robotic platforms for sensor-aware fibula osteotomies in mandibular reconstruction, and pioneered the generation of realistic surgical image datasets using 3D Gaussian splatting—a novel approach that promises to transform surgical training and algorithm development. Notably, Dr. Hu’s work on occlusion-robust autonomous manipulation of human soft tissues, leveraging 3-D surface feedback, addresses a critical challenge in robotic surgery by enabling safe interaction with deformable anatomy without high computational overhead. Additional contributions include coordinate calibration for dual-arm robot systems using visual tool tracking, enhancing precision in multi-robot setups. With a growing citation record and a portfolio of high-impact publications, Dr. Hu is shaping the future of intelligent, autonomous surgical systems.
Research Focus
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Top Papers
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