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About

Fuli Li is a multidisciplinary robotics and biomedical engineering researcher whose work spans medical robotics, agricultural AI, and rehabilitation technology. Li's most notable contribution is the design and validation of an Implantation Capsule Robot (ICR), a pioneering swallowable device capable of noninvasively delivering and implanting biosensors within the human body — a breakthrough approach to long-term physiological monitoring that has earned 21 citations since its 2017 publication. Building on a strong foundation in embedded systems and precision engineering, Li has more recently turned attention to agricultural applications of deep learning, developing a lightweight, high-precision YOLO-based detection model for passion fruit recognition that performs robustly across challenging real-world conditions such as occlusion, backlighting, and variable weather. This work, cited 26 times across two closely related publications, demonstrates Li's versatility in adapting neural network architectures for resource-constrained embedded devices. Li's research also extends to rehabilitation robotics, with admittance control strategies designed to enhance patient comfort in hemiplegic exoskeleton systems. Across these diverse domains, Li consistently prioritizes practical, deployable solutions — bridging the gap between advanced engineering concepts and real-world clinical and agricultural impact.