Lanfeng Zhou

Shanghai Technical Institute of Electronics & Information, Shanghai Institute of Technology

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Total Citations

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About

Lanfeng Zhou is a researcher working at the intersection of robotics, artificial intelligence, and computational medicine. Their work spans two compelling domains: intelligent robot navigation and the digitization of traditional Chinese medicine practices. In the field of robotics, Zhou has made meaningful contributions to autonomous path planning, developing and refining ant colony optimization algorithms for three-dimensional environments and improving classical approaches such as the D* Lite algorithm through slip prediction mechanisms — work that addresses real-world challenges in mobile robots and autonomous vehicles. More recently, Zhou has pioneered an innovative application of graph convolution networks and 3D deep learning to automate the identification of acupuncture points on virtual human models, bridging ancient clinical practice with cutting-edge computer vision technology in service of intelligent acupuncture robotics. This cross-disciplinary trajectory demonstrates a distinctive ability to apply advanced computational methods to both engineering and healthcare challenges. While Zhou's citation profile remains emerging — accumulating citations across multiple publications since 2017 — their work represents a thought-provoking fusion of swarm intelligence, deep learning, and medical digitization that positions them as a researcher to watch in human-robot interaction and AI-assisted medicine.