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About

Jihua Li is a leading researcher at the forefront of surgical robotics and opto-mechatronic systems, with a specialized focus on fiber-optic sensing technologies. Their major contributions lie in developing advanced shape and force sensing methods for continuum robots, particularly through innovative applications of Fiber Bragg Grating (FBG) sensor arrays that can simultaneously account for bending and twisting deformations. Li’s work on cable-driven puncturing surgery robots demonstrates their commitment to practical medical applications, designing low-mass, compact mechanisms for soft needle procedures. Their research has garnered significant attention, with their most-cited review on fiber-optic-based force and shape sensing in surgical robots accumulating 28 citations since 2023, while their shape sensing methodology for continuum robots has achieved 23 citations. Li has also made notable contributions to robot vision, pioneering attention mechanism-enhanced convolutional neural networks and multi-neural network fusion approaches for robust target recognition in complex environments. This body of work, spanning both sensing and perception, positions Li as a key innovator in enhancing the precision, control, and autonomy of surgical robots, with direct implications for improving minimally invasive procedures and patient outcomes.