Lanlin Yu
Papers
2
Total Citations
7
H-Index
1
About
Lanlin Yu is a researcher focused on advancing autonomous robotic systems and intelligent logistics, with key contributions in multi-robot coordination and computer vision. Yu’s most notable work, "A Path Planning and Tracking Control Algorithm for Multi-Autonomous Mobile Robot Systems Based on Spatiotemporal Conflicts and Nonholonomic Constraints" (2024), has garnered 6 citations by addressing a critical challenge in robotics: enabling multiple autonomous mobile robots (AMRs) to navigate shared spaces without collisions while respecting their kinematic constraints. This two-layer algorithm—detecting spatiotemporal conflicts at the upper level—offers a practical solution for warehouse and industrial automation, where efficient fleet coordination is essential. In a complementary vein, Yu’s 2025 paper on "Container Grasping System Based on Edge Detection and Delaunay Triangulation Doubling" tackles the persistent problem of low picking success rates in intelligent cargo box robots. By fusing edge detection with Delaunay triangulation, this work enhances object recognition and grasping precision, directly improving logistics efficiency. Though early in citation impact, this research signals Yu’s growing influence in applied robotics. Together, these contributions demonstrate a commitment to bridging algorithmic theory and real-world automation, making Yu a promising voice in the fields of multi-agent systems and robotic manipulation.
Research Focus
Key Achievements
Top Papers
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