Tomoki Fujita

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About

Tomoki Fujita is a researcher in human-robot interaction and mixed-reality systems, with a focus on making robot programming accessible to non-experts. His most influential work centers on the development of the RoboTable and RoboTable2 platforms, which integrate multi-touch tabletop interfaces with physical mobile robots to create intuitive, mixed-reality environments for programming and interaction. In his 2011 paper "RoboTable2," Fujita proposed a system that simultaneously recognizes multi-touch input and tracks physical robots, enabling users with limited programming experience to conduct robot programming through direct manipulation. His earlier work, "RoboTable," established the foundational infrastructure for combining virtual components with real robots, supported by a flexible software toolkit. Together, these papers have garnered over 25 citations, demonstrating their impact on accessible robotics education and tangible interaction design. Fujita’s contributions are notable for bridging the gap between complex robotic systems and novice users, making him a key figure in the development of user-friendly, tabletop-based robotics platforms that empower broader participation in robotics research and education.