Xiaomao Li
Papers
5
Total Citations
113
H-Index
3
About
Xiaomao Li is a pioneering researcher at the intersection of robotics, autonomous navigation, and medical technology. His primary contributions lie in developing real-time 3D LIDAR SLAM systems for challenging outdoor environments, including ground and water-surface applications, as demonstrated by his highly cited work "S4-SLAM" (51 citations). Li has also advanced robot tactile sensing through vision-based force perception sensors, addressing critical gaps in multimodal tactile feedback for robotic systems. In the medical domain, his meta-analysis comparing robotic surgery with laparoscopy and laparotomy in endometrial cancer (29 citations) has provided valuable insights into perioperative outcomes. His work on S4OM, a real-time lidar odometry system using Super4PCS scan-matching, further showcases his expertise in long-distance localization and mapping for mobile robots. Additionally, Li has contributed to underwater robotics through integrated navigation systems combining SINS/DVL for search and rescue applications. With a portfolio spanning autonomous navigation, tactile sensing, and surgical robotics, Li’s research demonstrates a unique ability to bridge engineering innovation with practical applications in both terrestrial and aquatic environments, making significant impacts in robotics and medical technology.
Research Focus
Key Achievements
Top Papers
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- 3Robot Tactile Sensing: Vision Based Tactile Sensor for Force Perception28 citations · 2018
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