Kohji UCHINO
Papers
1
Total Citations
3
H-Index
1
About
Kohji Uchino’s research career has been defined by a deep fascination with how humans and machines perceive the auditory world, particularly through biaural (two-eared) localization. His key contributions lie at the intersection of psychoacoustics, robotics, and signal processing, where he has developed practical methods to mimic and enhance natural hearing. His most cited work, “3D-Biaural Localization of A Stationary Random Acoustical Source in Near-Field by Using Amplitude Attenuation of Wave Propagation and An Additional Rotation of Detectors” (1995), introduced a novel technique that uses detector rotation to achieve three-dimensional localization of random sound sources in the near-field—a challenging problem for both human perception and robotic environmental recognition. While his citation count (3) is modest, the conceptual leap in this paper is significant: it bridges biological hearing mechanisms with engineering design, offering a refined approach for autonomous systems to navigate complex acoustic environments. Uchino’s work is particularly notable for its interdisciplinary ambition, aiming to unravel humankind’s innate biaural abilities while simultaneously advancing practical robotics. For students and researchers, his research serves as a compelling example of how fundamental questions about perception can inspire innovative solutions in artificial sensing.
Research Focus
Key Achievements
Top Papers
- 1