Yu Yu Lwin
Papers
2
Total Citations
11
H-Index
2
About
Yu Yu Lwin is a robotics researcher whose work focuses on intelligent navigation and control for autonomous mobile robots operating in complex, unknown environments. Her major contributions lie in sensor-based trajectory planning and obstacle-responsive navigation, particularly for non-holonomic wheeled platforms. In her most-cited work (2009, 6 citations), she introduced a trajectory planning strategy that equips a four-wheeled robot with two 2D laser range finders, enabling it to navigate obstructed spaces without any a priori environmental knowledge—a critical step toward truly autonomous operation. Her follow-up study (2012, 5 citations) advanced this by designing a look-ahead control framework that seamlessly fuses goal-seeking and obstacle avoidance into a single, coherent navigation scheme. These contributions are notable for their practical, real-world applicability, addressing the core challenge of merging perception with motion control in real time. While her citation counts reflect a focused, early-career impact, her work has laid foundational principles for responsive, sensor-driven robotics, making her a valuable reference for researchers developing autonomous navigation systems in unstructured settings.
Research Focus
Key Achievements
Top Papers
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