Kaiyang Bao

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About

Kaiyang Bao is a robotics and medical engineering researcher specializing in image-guided surgical robotics, with a particular focus on dental implant surgery and robotic puncture systems. His work addresses critical challenges in minimally invasive procedures, including spatial constraints, targeting accuracy, and the complex dynamics introduced by patient movement during surgery. Bao's most influential contribution, "Optics-guided Robotic System for Dental Implant Surgery" (2022, 34 citations), tackles longstanding limitations in implant procedures by integrating optical guidance with robotic precision, reducing dependence on surgeon experience and preoperative imaging alone. Complementing this, his earlier conference work on the same topic (2021) helped lay the conceptual groundwork for the system's development. In the domain of puncture robotics, Bao has made notable strides in both calibration methodology and adaptive motion compensation. His multiple closed-loop calibration framework (2021, 14 citations) significantly advances positional and orientational accuracy across robotic components, while his respiratory-motion-compensating puncture system (2022, 12 citations) addresses the real-world challenge of soft tissue deformation during thoracoabdominal procedures. Together, his body of work demonstrates a consistent commitment to bridging robotic engineering and clinical applicability, making surgical interventions safer, more precise, and less operator-dependent.