Max Robotics — Global Service Robot Directory + US Certification

About

Mingjian Sun is a leading researcher at the intersection of medical robotics and artificial intelligence, with a primary focus on autonomous ultrasound imaging systems. His work addresses critical challenges in lung ultrasound scanning, particularly highlighted during the COVID-19 pandemic, where his team developed robotic systems that reduce clinician infection risk and workload. Sun’s major contributions include pioneering visual perception and convolutional neural network-based localization for robotic autonomous lung ultrasound scanning, achieving 10 citations for this foundational work. He further advanced the field with a channel and spatial attention mechanism-based YOLO network for target detection in lung ultrasound robots (4 citations), and most recently introduced MM-UKAN++, a novel Kolmogorov–Arnold Network-based U-shaped network for ultrasound image segmentation (15 citations in 2025). This latest work tackles the persistent challenge of low contrast and fuzzy boundaries in ultrasound images, demonstrating Sun’s commitment to improving clinical diagnostic accuracy. His earlier research on UAV object tracking using fast kernel correlation filters (3 citations) showcases his broader expertise in computer vision and tracking algorithms. Sun’s innovations are directly impacting robot-assisted diagnosis, making ultrasound scanning safer, faster, and more reliable for healthcare workers and patients alike.