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About

Anna Wang is a researcher specializing in advanced control systems, robotics, and human-robot interaction, with a particular focus on applications in industrial automation, rehabilitation engineering, and disaster rescue operations. Her most-cited work, "Sensor-Less Complex System Control of PMSM Based on Improved SMO" (2021, 19 citations), demonstrates her expertise in permanent magnet synchronous motor control, offering significant advancements in sensorless control methodologies through precise mathematical modeling. Her contributions to robotic manipulator control are equally notable, encompassing repetitive control schemes using improved B-spline functions and fuzzy adaptive supertwisting sliding mode algorithms for human-robot cooperative assembly lines. Wang has also made meaningful strides in rescue robotics, developing innovative systems for human pose estimation under occlusion and 3D human body reconstruction using viewpoint-adaptive RGB-D sensing — work with clear humanitarian implications. More recently, she has extended her expertise to lower limb rehabilitation robotics, applying singular perturbation algorithms to assist injury recovery. Collectively accumulating over 40 citations, Wang's interdisciplinary research bridges sophisticated control theory with real-world applications in manufacturing, emergency response, and healthcare robotics, establishing her as a versatile and impactful contributor to intelligent systems engineering.