Aijuan Li
Papers
2
Total Citations
38
H-Index
2
About
Aijuan Li is a leading researcher in intelligent robotics and autonomous navigation, with a primary focus on multi-sensor information fusion and path planning for mobile robots. Her most cited work, "Map Construction and Path Planning Method for a Mobile Robot Based on Multi-Sensor Information Fusion" (2022, 35 citations), proposes a novel approach that integrates extended Kalman filter (EKF) techniques to fuse environmental data, enabling robust map building and efficient path planning in unknown environments. This contribution addresses a critical challenge in autonomous vehicle navigation, offering practical solutions for real-world deployment. Li also explores the emerging field of water-based security platforms, as seen in her work on "Overview of Key Technologies for Water-based Automatic Security Marking Platform" (2022), which examines the integration of multifunctional underwater robots and unmanned surface vessels for complex aquatic operations. Her research bridges theoretical advancements with applied robotics, demonstrating significant impact in both terrestrial and maritime domains. With a growing citation record, Li’s work continues to influence the development of intelligent, sensor-driven autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2