Yinfei Li

Papers

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About

Yinfei Li is a robotics researcher whose work bridges intelligent control, human-machine interaction, and autonomous navigation. Li’s most impactful contribution is a wireless prosthetic hand system that uses surface electromyography (sEMG) signals for gesture recognition, integrating a novel, ultra-compact CNN-Transformer model (just 169 kB) to classify 21 distinct hand gestures with force feedback. This work, published in 2023, has already garnered 5 citations, signaling its importance in the field of assistive robotics. Li also addresses practical challenges in autonomous logistics with a 2022 study on path planning for robotic delivery systems, where a modified Dijkstra’s algorithm was deployed on a university campus to compute shortest paths efficiently using a directed graph of sampled nodes. By combining deep learning with real-world robotic applications, Li demonstrates a commitment to creating deployable, user-centered technologies. Their research not only advances prosthetic control and mobile robot navigation but also sets a foundation for future work in low-power, high-accuracy embedded AI systems.