Kangpeng Zhou

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About

Kangpeng Zhou is a researcher advancing the field of fiber-optic sensing for medical robotics, with a focus on shape reconstruction and torsion compensation. His key research areas include multi-core fiber (MCF) and spun multi-core optic fiber (SMOF) sensors, particularly for continuum surgical robots. Zhou’s major contributions center on developing high-precision 3D shape sensing technologies. His most-cited work, "FBG-based 3D shape sensor based on spun multi-core fibre for continuum surgical robots" (2023, 9 citations), demonstrates a novel approach to real-time shape monitoring in flexible surgical instruments. Building on this, his 2024 paper introduces the torsion-compensated Bishop algorithm (TCBA), which corrects torsional errors in SMOFs to enable accurate coordinate reconstruction—a critical advancement for minimally invasive procedures. Zhou also addresses practical challenges in "Error analysis and correction method of multi-core fiber sensing" (2023, 2 citations), enhancing sensor reliability. With a growing citation impact, his work bridges fiber optics and robotics, offering robust solutions for medical shape measurement. Zhou’s achievements highlight his role in pushing the boundaries of smart surgical tools, making him a notable contributor to biomedical engineering.