Lianbo Yu

Papers

Total Citations

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About

Lianbo Yu is a rising researcher in the field of robotics and autonomous systems, with a focused expertise in path planning and multi-objective optimization for mobile robots and automated guided vehicles (AGVs). His work addresses critical challenges in enabling efficient, safe, and intelligent navigation for autonomous platforms. Yu’s major contributions include the development of an enhanced ant colony optimization algorithm that solves the path-planning problem for mobile robots with improved speed and multi-objective capabilities, as detailed in his 2025 paper. He also proposed a hybrid multi-objective heuristic algorithm for AGV path planning in 2024, tackling the growing need for automated solutions in industrial and service settings. Though his most-cited papers currently hold 2 citations each, they represent foundational work in a rapidly advancing domain. Yu’s research is particularly notable for its practical focus on real-world robotics applications, aiming to replace manual labor with efficient AGV systems. As a scholar, he is contributing to the evolution of intelligent transportation and logistics, making his work highly relevant for students and researchers exploring heuristic algorithms and autonomous navigation.