Yumiko Suzuki

National Institute of Advanced Industrial Science and Technology, Nara Institute of Science and Technology

Papers

Total Citations

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About

Yumiko Suzuki’s research focuses on the intersection of robotics, autonomous navigation, and human-robot interaction, with a particular emphasis on smooth path planning for wheeled and car-like robots. Her major contributions include pioneering the use of predesigned steering sets—comprising straight, right, and left trajectory types—to generate paths that avoid the jerky, zigzagged motions typical of grid-based search algorithms like A* or Dijkstra. This approach enables robots to navigate dynamic environments more fluidly while avoiding pedestrians, a critical step toward practical deployment in crowded spaces. Her most-cited work, “Smooth Path Planning with Pedestrian Avoidance for Wheeled Robots” (2010), has garnered 12 citations, reflecting its foundational role in the field. Additional influential papers, such as “Path Planning with Steering Sets for Car-Like Robots” (2006) and its implementation-focused follow-up (2009), have together accumulated nearly 30 citations, underscoring her sustained impact. Suzuki’s research not only advances algorithmic efficiency but also bridges the gap between theoretical planning and real-world application, making her a notable figure in mobile robotics and autonomous systems.