Hikaru Nakagawa
Papers
1
Total Citations
8
H-Index
1
About
Hikaru Nakagawa is a researcher at the forefront of human-robot interaction, specializing in natural language understanding and multimodal perception. Their key research areas include exophora resolution, situated dialogue systems, and the integration of linguistic and visual cues for robotic assistance. Nakagawa’s most notable contribution is their pioneering work on enabling robots to resolve ambiguous linguistic instructions containing demonstratives like “Take that one” by leveraging real-world multimodal information—such as object locations, gestures, and scene context. This breakthrough, detailed in their 2023 paper “Exophora Resolution of Linguistic Instructions with a Demonstrative based on Real-World Multimodal Information,” has garnered 8 citations and is foundational for developing robots capable of intuitive home assistance. By tackling the challenge of exophora resolution—distinct from endophora—Nakagawa has advanced the field’s ability to bridge human language and robotic action. Their work promises to make human-robot collaboration more seamless, with potential applications in assistive technology and smart environments. For students and researchers, Nakagawa’s research exemplifies how combining linguistics, computer vision, and robotics can solve real-world problems in human-centered AI.
Research Focus
Key Achievements
Top Papers
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