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About

Tengfei Cui is a leading researcher in robot-assisted surgery, with a focus on craniotomy and craniomaxillofacial procedures. His work centers on developing intelligent human-machine collaborative systems that enhance surgical precision and safety. Cui’s major contributions include pioneering virtual-fixture-based shared control methods for drilling and curve-cutting tasks, as demonstrated in his highly cited 2021 paper on robot-assisted craniotomy (40 citations) and his 2023 study on osteotomy with reciprocating saws (25 citations). These innovations enable surgeons to perform complex operations more efficiently by integrating human guidance with robotic assistance. His impact is further evidenced by his design of a craniotomy robot system based on human-machine parallel collaboration (2016, 10 citations), which addresses the challenges of skull anatomy and critical neurovascular structures. Cui has also advanced calibration techniques for physical human-robot interaction, such as a dual-six-dimensional force sensor method using ridge regression (2020). His recent work explores output-constrained control for robotic manipulators, showcasing his versatility in surgical robotics and automation. With a growing citation record and a focus on translating research into clinical practice, Cui is shaping the future of minimally invasive, robot-assisted surgery.