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About

Xiangfeng Zhang is a researcher at the forefront of advanced manufacturing and intelligent robotics, with key contributions spanning micro-electrical discharge machining (micro-EDM), bio-inspired optimization algorithms, and precision motion control. His most impactful work introduces a novel 3D servo scanning micro-EDM process for fabricating pierced microstructures in NiTi alloy tubes—a material notoriously difficult to machine due to its superelasticity—enabling critical applications in active catheters and biomedical devices (7 citations). Addressing challenges in environmental robotics, Zhang developed a hybrid strategy improved Grey Wolf Optimization algorithm for plume tracking and source localization in indoor weak wind conditions, significantly enhancing robot search success rates and reducing localization time (5 citations). He further advanced industrial automation by proposing a fuzzy PID control strategy for robotic end positioning, achieving higher accuracy for tasks like mold placement in coal pen production (2 citations). Zhang’s work uniquely bridges material processing, swarm intelligence, and control theory, offering practical solutions for micro-manufacturing, autonomous environmental monitoring, and precision robotics. His interdisciplinary approach continues to drive innovation in smart manufacturing and autonomous systems.