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About

Mingjun Guan is a pioneering researcher at the intersection of biomedical engineering and soft robotics, whose work addresses critical challenges in both surgical planning and robotic manipulation. His key research areas include pelvic fracture reduction planning, bio-inspired tactile sensing, and variable-stiffness robotic systems. Guan’s most impactful contribution is his 2021 paper on automatic reduction planning for pelvic fractures (28 citations), which tackles the difficulty of restoring pelvic symmetry without pre-fracture data—a breakthrough that reduces reliance on surgeon experience. In soft robotics, he has developed innovative tactile sensing mechanisms inspired by mammalian proprioception, using tendon-driven fingers with tension sensors to infer texture and shape (12 and 7 citations). His bio-inspired variable-stiffness method, based on muscle antagonism (5 citations), enables flexible manipulators to adapt to diverse tasks. Guan’s work on the influence of finger abduction joints on grasping (4 citations) provides crucial insights for prosthetic hand design. With a growing citation record, Guan’s research bridges surgical precision and robotic dexterity, offering transformative solutions for medical and assistive technologies.