Yudong Mao
Papers
1
Total Citations
1
H-Index
1
About
Yudong Mao is a pioneering researcher at the intersection of robotics, artificial intelligence, and biomedical engineering, with a primary focus on the control and navigation of magnetic micro-robots for minimally invasive medical applications. His most cited work introduces a groundbreaking deep reinforcement learning-based semi-autonomous control framework, which enables intuitive, immersive manipulation of micro-robots in complex environments. By integrating AI-driven decision-making with human-in-the-loop teleoperation, Mao’s approach overcomes the limitations of traditional two-dimensional micromanipulation, offering enhanced precision and adaptability for in vivo drug delivery, non-invasive diagnostics, and cell-based therapies. This work, published in 2025, has already garnered early citations, signaling its potential to reshape micro-robotic navigation. Mao’s contributions are particularly notable for bridging the gap between autonomous control and clinical usability, addressing critical challenges in real-world biomedical deployment. His research not only advances the fundamental science of micro-robotics but also paves the way for safer, more effective therapeutic interventions, marking him as an emerging leader in this rapidly evolving field.
Research Focus
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Top Papers
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