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About

Zhaoyang Qi is an emerging researcher at the cutting edge of magnetic robotics and medical microrobotics, with a focus on miniaturized systems designed for minimally invasive biomedical applications. His work spans soft magnetic miniature robots, magnetic continuum robots (MCRs), and helical millirobots, addressing some of the field's most pressing challenges: precise navigation in unstructured environments, robust control under fluid disturbances, and scalable actuation across large workspaces. Qi's most celebrated contribution — a deep reinforcement learning framework for flow-rate rejection control of soft magnetic miniature robots (56 citations) — demonstrated a powerful marriage of artificial intelligence and magnetic robotics, enabling repeatable navigation in dynamic physiological conditions. His pioneering work on MCRs with intraoperative magnetic moment programming and modular axial magnetization has advanced the field's ability to precisely govern robot shape and deflection, making these devices more clinically viable. Complementing this, his development of reconfigurable electromagnetic actuation systems addresses the long-standing challenge of generating isotropic magnetic fields across large workspaces. With over 158 cumulative citations and multiple high-impact publications from 2022 to 2025, Qi has rapidly established himself as a significant voice in medical robotics, offering innovations that meaningfully advance the path toward safe, effective in vivo robotic therapies.