Hirofumi Nakajima
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
Top Papers
- 1
- 2An open source software system for robot audition HARK and its evaluation70 citations · 2008
- 3
- 4Adaptive step-size parameter control for real-world blind source separation46 citations · 2008
- 5
- 6Robot audition for dynamic environments30 citations · 2012
- 7A robot referee for rock-paper-scissors sound games29 citations · 2008
- 8Sound source separation of moving speakers for robot audition28 citations · 2009
- 9Assessment of general applicability of ego noise estimation24 citations · 2011
- 10