Aki Tamai

Papers

Total Citations

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About

Aki Tamai is a researcher in human-robot interaction, specializing in intuitive and socially aware guidance systems. Their work focuses on developing methods for mobile robots to lead people through exhibitions and public spaces, addressing critical challenges in human-robot collaboration. Tamai’s major contribution is a novel approach that combines robot movement with projected visual cues to guide individuals along predetermined routes. This method solves common problems where people overtake the robot, deviate from the path, or obstruct the robot’s motion, ensuring smoother and more effective guidance. Their most-cited paper, "A Method for Guiding a Person Combining Robot Movement and Projection" (2019, 8 citations), introduces this foundational technique, while a follow-up study, "Guiding a Person Through Combined Robotic and Projection Movements" (2021, 4 citations), refines the approach. Though early in their career, Tamai’s work has practical implications for museums, retail, and assistive robotics, demonstrating how multimodal feedback can enhance human-robot interaction. Their research stands out for its focus on real-world usability and user experience, making it valuable for students and researchers exploring non-verbal communication in robotics.