Papers
14
Total Citations
485
H-Index
11
About
Keyu Li is a robotics and medical imaging researcher whose work bridges autonomous systems, robotic ultrasound, and magnetically actuated capsule endoscopy. His most influential contribution — a comprehensive overview of autonomous robotic ultrasound acquisition systems (2021, 140 citations) — has become a key reference for researchers seeking to standardize and automate sonographic procedures, addressing critical challenges in clinical workflow and access to care. Building on this foundation, Li has developed sophisticated probe guidance frameworks for spinal sonography and transesophageal echocardiography, employing deep reinforcement learning and attention-augmented architectures to replicate expert clinical decision-making. Equally significant is Li's pioneering research in wireless capsule endoscopy (WCE), where he has advanced simultaneous magnetic actuation and localization (SMAL) technologies. His closed-loop actuation system (2020, 71 citations) and subsequent sensor fusion strategies for 6-DOF pose estimation represent meaningful steps toward fully autonomous gastrointestinal diagnostics. Complementing these efforts, his work on human-aware mobile robot navigation (2019, 49 citations) demonstrates a broader commitment to safe and socially intelligent robotic behavior. Collectively, Li's research — spanning over 440 citations — reflects a cohesive vision of intelligent, autonomous medical and service robotics with tangible clinical impact.
Research Focus
Key Achievements
Top Papers
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