Papers
10
Total Citations
220
H-Index
7
About
Jiyong Tan is a pioneering researcher at the intersection of soft robotics, medical robotics, and autonomous ultrasound imaging. Their work is defined by two major thrusts: bioinspired soft robotic systems for human augmentation and fully autonomous medical ultrasound platforms. Tan’s most impactful contribution is the development of Otariidae-inspired soft-robotic supernumerary flippers using fabric kirigami and origami (69 citations), which introduced novel wearable robotic limbs for human augmentation. They also led the creation of a flexible, fully autonomous breast ultrasound scanning system (37 citations) and a fully automatic dual-probe lung ultrasound robot for COVID-19 screening triage (25 citations), demonstrating real-world clinical impact. Tan has further advanced autonomous trajectory planning for real-time tumor tracking (15 citations) and cephalopod-inspired soft-robotic siphons for underwater thrust vectoring (17 citations). Their work on automatic ultrasound scanning trajectory generation from 3D point clouds (23 citations) addresses critical challenges in medical imaging consistency. With over 200 total citations across these key papers, Tan’s research uniquely bridges soft robotics, bioinspiration, and autonomous medical systems, offering transformative solutions for healthcare and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 2A Flexible and Fully Autonomous Breast Ultrasound Scanning System37 citations · 2022
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