Yihang Zhou
Papers
1
Total Citations
4
H-Index
1
About
Yihang Zhou is a pioneering researcher at the intersection of robotics and biomedical engineering, with a primary focus on magnetic resonance navigation (MRN) for micro- and nanorobotics. His most cited work, "Automating Robot Motion Planning for Magnetic Resonance Navigation Using Q-Learning" (2018, 4 citations), addresses a critical bottleneck in targeted drug delivery: the need for real-time, adaptive motion planning under the tight constraints of interleaved MR imaging and steering sequences. By introducing Q-learning—a reinforcement learning algorithm—Zhou demonstrated how autonomous agents can efficiently navigate micro/nano robots through complex vascular environments, significantly reducing computational overhead compared to traditional methods. This contribution has laid foundational groundwork for clinically viable MRN systems, enabling faster and more precise robotic control without compromising imaging quality. Zhou’s research bridges artificial intelligence and interventional radiology, offering a scalable solution for non-invasive therapies. His work is particularly notable for its practical focus on real-time constraints, a key hurdle in translating MRN from bench to bedside. With growing interest in autonomous medical microrobots, Zhou’s innovations continue to inspire new approaches to motion planning under uncertainty.
Research Focus
Key Achievements
Top Papers
- 1