Weiya Yue

Papers

Total Citations

H-Index

About

Weiya Yue is a researcher specializing in robotics and artificial intelligence, with a primary focus on path planning and navigation in dynamic, unknown environments. Her work centers on developing efficient, real-time replanning algorithms that enable autonomous robots to adapt to changing terrains without unnecessary computational overhead. Yue's most significant contribution is the "ID* Lite" algorithm (2011), which refines the widely-used D* Lite approach by introducing incremental search optimizations that reduce redundant calculations, achieving 8 citations. Her earlier work, "The BDD-Based Dynamic A* Algorithm for Real-Time Replanning" (2009, 7 citations), pioneered the use of Binary Decision Diagrams to represent state spaces compactly, enabling faster replanning in complex environments. Additionally, her paper "Avoiding Unnecessary Calculations in Robot Navigation" (2002, 4 citations) laid foundational insights into minimizing computational waste during path updates. Collectively, Yue's research has advanced the practicality of autonomous navigation systems, making them more responsive and resource-efficient. Her algorithms are particularly valuable for applications in search-and-rescue, planetary exploration, and autonomous vehicles, where real-time adaptability is critical. Through her incremental and BDD-based approaches, Yue has contributed to the theoretical and applied foundations of modern robotic navigation.