Papers
8
Total Citations
62
H-Index
6
About
Zhaokun Deng is a robotics researcher whose work sits at the intersection of medical robotics, parallel mechanisms, and ultrasound imaging systems. His research focuses primarily on designing and optimizing robotic platforms to enable remote, autonomous, and robot-assisted ultrasound diagnosis — an area of growing clinical relevance, particularly in contexts where specialist access is limited. Deng has made notable contributions to the development of parallel-mechanism-based robotic systems, including Stewart-Gough platforms and robotic wrists with remote center of motion capabilities, addressing longstanding challenges in workspace optimization, portability, and precision control. His work on trans-esophageal ultrasound robotics and virtual admittance-based master-slave control methods demonstrates a strong commitment to improving both the safety and usability of teleoperated medical systems. Beyond hardware innovation, Deng has explored digital twin-based skill training tools to help clinicians improve ultrasound scanning proficiency, and developed IMU-based 6-DOF pose tracking methods to enhance robot navigation and intelligent control. With a growing publication record accumulating over 60 citations since 2021, his contributions are shaping the future of intelligent, accessible diagnostic robotics in clinical environments.
Research Focus
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Top Papers
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