Aomen Li
Papers
3
Total Citations
15
H-Index
2
About
Aomen Li is a pioneering researcher at the forefront of surgical robotics and human-machine interaction, specializing in advanced sensor technologies for minimally invasive procedures. Li’s major contributions lie in developing multimodal perception systems that integrate proximity, tactile, and three-dimensional force sensing, addressing critical safety and precision gaps in robotic surgery. Their most cited work, “A Full‐Range Proximity‐Tactile Sensor Based on Multimodal Perception Fusion for Minimally Invasive Surgical Robots” (2025, 10 citations), introduces a novel sensing module that enables robots to navigate complex surgical environments with enhanced dexterity and risk reduction. This is complemented by a highly sensitive MEMS three-dimensional force sensor (4 citations), which further refines force feedback for delicate tissue manipulation. Li has also ventured into human-machine interaction with a high-performance flexible strain sensor for smart gloves (1 citation), demonstrating potential in gesture-based master-slave control. Though early in their career, Li’s work has already garnered attention for its translational impact, promising to make robotic surgery safer and more intuitive. Their research embodies a seamless fusion of engineering innovation and clinical application, positioning them as a rising leader in sensor-driven medical robotics.
Research Focus
Key Achievements
Top Papers
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