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About

Yaoqing Hu is a robotics researcher whose work centers on advancing computer vision and autonomous navigation for surgical applications, particularly in the challenging domain of oral and maxillofacial surgery (OMS). His research spans three interconnected areas: visual marker detection, motion planning with virtual fixtures, and compact navigation systems for surgical robots. Hu’s major contributions include developing an accurate method for detecting curved checkerboard-like markers using quadratic forms, which overcomes the limitations of traditional flat-surface assumptions in SLAM and augmented reality (16 citations). He also introduced a novel conical virtual fixture strategy for guiding surgical tools in robot-assisted oral surgery, addressing the complexities of unmodeled intraoral environments (9 citations). His most notable achievement is the creation of a spatially compact visual navigation system for an automated suturing robot designed specifically for OMS, a breakthrough that tackles the severe spatial constraints of the oral cavity (8 citations). Most recently, Hu has pioneered a distributed-camera system with robotic adjustments for robust moving object pose estimation, enhancing surgical instrument tracking. With a growing citation impact, Hu’s work is driving the next generation of precise, autonomous surgical robotics.