Naoya Tokuse
Papers
2
Total Citations
4
H-Index
2
About
Naoya Tokuse is a robotics researcher specializing in motion planning and collision avoidance for autonomous systems operating in human-populated environments. His work addresses a critical challenge: enabling robots to navigate smoothly and safely alongside people and other obstacles in public spaces and homes. Tokuse’s major contribution lies in developing the concept of “give-way behavior” in robot motion planning, where a robot proactively yields to others to ensure fluid, cooperative navigation. He pioneered the use of Spatiotemporal Rapidly-exploring Random Trees (RRT), an extension of the classic RRT algorithm that incorporates both space and time dimensions, allowing robots to anticipate and adapt to dynamic obstacles. His two most-cited papers, “Motion Planning which Produces a Give-way Behavior using Spatiotemporal RRT” (2009) and its 2008 precursor, each have garnered 2 citations, reflecting foundational work in socially-aware robot navigation. While his citation count is modest, Tokuse’s research is notable for its early focus on human-robot interaction and etiquette-based motion, predating the current surge in interest in autonomous social robots. His work remains relevant for students and researchers exploring collision avoidance in crowded, unpredictable settings.
Research Focus
Key Achievements
Top Papers
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- 2