Yueyang Shi
Papers
5
Total Citations
45
H-Index
4
About
Yueyang Shi is a robotics researcher whose work sits at the intersection of teleoperation, medical robotics, and intelligent perception. His primary research areas include intuitive human-robot interfaces, tremor attenuation for teleoperation systems, and MRI-conditional surgical robots. Shi’s major contributions include developing an IMU-based motion capture method with adaptive tremor attenuation, which significantly improves the precision of teleoperated robot systems in unstructured environments—a work that has garnered 18 citations. He also advanced object detection and localization for teleoperation by integrating an improved YOLOv5 algorithm, achieving 13 citations for enhancing execution efficiency. In the medical domain, Shi has designed and optimized a magnetic resonance conditional 3-RRR spherical parallel robot for neurosurgery, enabling real-time intraoperative MRI guidance despite the challenges of strong magnetic fields. His recent work includes a 7-DOF MR-conditional robot for MRI-guided brain stereotactic surgery, pushing the boundaries of precision in neurosurgical interventions. With a growing citation record and a focus on bridging perception, control, and clinical application, Shi’s research is shaping the future of safe, intuitive, and high-precision robotic systems for both industrial and surgical settings.
Research Focus
Key Achievements
Top Papers
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