Lijuan Yu
Papers
2
Total Citations
7
H-Index
2
About
Lijuan Yu is a researcher specializing in mobile robotics and intelligent path planning, with a focus on optimizing autonomous navigation for agricultural and industrial applications. Her work centers on developing bio-inspired algorithms to enhance the efficiency, accuracy, and speed of robot movement in complex environments. Yu’s major contributions include the creation of a modified sparrow search algorithm (MSSA) for mobile robot path planning, which overcomes limitations in initial population quality and convergence speed, and an improved ant colony algorithm tailored for picking robots in agricultural settings. These innovations directly address the growing demand for automation in labor-intensive tasks like crop harvesting. Though her most-cited papers—published in 2022 and 2019—have garnered modest citation counts of 4 and 3 respectively, they represent foundational steps in applying swarm intelligence to real-world robotics challenges. Yu’s work is notable for its practical orientation, bridging theoretical algorithm design with tangible improvements in robot performance, and holds promise for advancing precision agriculture and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A Mobile Robot Path Planning Based on Modified Sparrow Search Algorithm4 citations · 2022
- 2Picking robot path planning based on improved ant colony algorithm3 citations · 2019