Max Robotics — Global Service Robot Directory + US Certification

About

Xiangjie Yan is an emerging researcher at the intersection of medical robotics, autonomous ultrasound systems, and human-robot collaboration. His work addresses critical challenges in healthcare automation and intelligent robotic control, with a particular focus on making diagnostic imaging more accessible and consistent. Yan's most impactful contribution lies in autonomous ultrasound robotics. His 2025 study on large-scale learning-based robotic carotid ultrasonography (10 citations) demonstrates a landmark step toward expert-level diagnostic autonomy, tackling the real-world challenges of anatomical variability and sonographer shortages. Complementing this, his unified interaction control framework (2024) and multi-modal ultrasound scanning work (2023) advance safe, adaptive robotic scanning by enabling robots to intelligently respond to human contact and recover from unexpected disturbances. Beyond medical imaging, Yan has made notable contributions to human-robot collaboration more broadly. His research on mixed augmented reality–haptic interfaces (2023, 8 citations) and adaptive vision-based redundant robot control (2022, 8 citations) explores how robots can work fluidly and safely alongside humans across manufacturing, rehabilitation, and surgical contexts. With a growing citation record across high-impact venues, Yan represents a promising voice in the next generation of medical and collaborative robotics research.