R. Kurnia

Papers

Total Citations

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About

R. Kurnia is a pioneering researcher in human-robot interaction, with a focus on integrating speech and vision systems to create more intuitive helper robots. Their most-cited work, "Object recognition through human-robot interaction by speech" (2005, 21 citations), addresses a critical challenge in robotics: enabling machines to identify objects in complex, cluttered environments. Kurnia’s key contribution lies in developing a framework where speech commands guide a robot’s vision system, filtering out irrelevant objects and honing in on what the user actually needs. This approach bridges the gap between natural language understanding and computer vision, making robots more responsive and practical for everyday assistance. By tackling the problem of object recognition in dynamic scenes, Kurnia has laid groundwork for more adaptive human-robot collaboration. Their work is particularly valuable for students and researchers interested in assistive robotics, multimodal interaction, and the intersection of AI and user-centered design. Though citation counts are modest, the research’s conceptual impact—showing how speech can direct visual attention—remains influential in the field of interactive robotics.