Daisuke Kakuma

Nara Institute of Science and Technology

Papers

Total Citations

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About

Daisuke Kakuma is a robotics researcher whose work bridges the gap between autonomous navigation and human-robot interaction, with a focus on enabling robots to understand and operate in daily-life environments using semantic information. His most cited work, "Alignment of Occupancy Grid and Floor Maps Using Graph Matching" (2017, 26 citations), addresses a critical challenge: how robots can relate their internal sensor-based maps to pre-existing floor maps that contain meaningful labels, such as room names or corridors. By leveraging graph matching techniques, Kakuma’s approach allows robots to align their occupancy grids with these semantic maps, making it possible for users to command robots using natural language—for example, "go to the kitchen" instead of specifying coordinates. This contribution is foundational for service robots in homes and offices, where intuitive communication is key. Kakuma’s research has been recognized for its practical impact, and his work continues to influence the development of more accessible and intelligent robotic systems.