Hirofumi Nakajima

Honda (Japan), Nitto Boseki (Japan), Kogakuin University

Papers

19

Total Citations

619

H-Index

11

About

Hirofumi Nakajima is a pioneering researcher in the field of robot audition, dedicated to enabling robots to perceive, localize, and interpret human speech in complex, real-world acoustic environments. His most celebrated contribution is the development of HARK (Honda Research Institute Japan Audition for Robots with Kyoto University), an open-source robot audition software system capable of simultaneously processing speech from multiple speakers — a landmark achievement that has garnered over 200 citations since its 2010 publication. HARK integrates sound source localization, blind source separation (BSS), and automatic speech recognition into a flexible, hardware-agnostic framework applicable to diverse robotic platforms. Nakajima's work has substantially advanced the theoretical underpinnings of BSS, particularly through his development of adaptive step-size parameter control methods that make separation algorithms robust and practical in unpredictable environments. He has further extended robot audition into dynamic scenarios involving moving speakers and robots, ego-noise estimation, and multi-microphone array integration for real-time tracking. His rock-paper-scissors referee robot memorably demonstrated these capabilities in an engaging real-world context. Collectively, his body of work — accumulating over 560 citations — has meaningfully shaped the trajectory of human-robot interaction research.

Research Focus

Key Achievements

11
H-Index
19
Papers
619
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Design and Implementation of Robot Audition System 'HARK' — Open Source Software for Listening to Three Simultaneous Speakers
203 citations · 2010
📈 Most Prolific Year: 2008 (4 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Honda (Japan), Nitto Boseki (Japan), Kogakuin University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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