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About

Tianxue Zhang is a robotics and medical engineering researcher whose work spans soft object manipulation, MRI-guided surgical robotics, and sensor-integrated medical systems. With a publication record bridging fundamental robotics and clinical applications, Zhang has established a distinctive research identity at the intersection of intelligent control and minimally invasive medicine. Zhang's most influential contribution — garnering 184 citations — introduced an adaptive deformation model enabling robotic arms to autonomously servo-control the three-dimensional shape of soft objects in real time, a landmark advance for food processing and surgical automation alike. Building on this foundation, Zhang has dedicated considerable effort to MRI-guided breast biopsy robotics, developing compact Cartesian systems, parallel robot architectures, and palm-shaped deformation devices designed to operate safely within the challenging electromagnetic constraints of MRI scanners — work that collectively reflects a sustained commitment to improving diagnostic accessibility and precision. More recently, Zhang has expanded into augmented reality–enhanced robotic telepresence for interventional medicine, fiber Bragg grating (FBG)-based multi-parameter vascular sensing, and continuum robot shape sensing for inner-ear surgery. This trajectory reveals a researcher increasingly focused on integrating advanced perception and sensing into next-generation surgical platforms — making Zhang's portfolio an essential reference for students pursuing medical robotics, human-robot interaction, or intelligent surgical systems.