Koji Kainou
Papers
2
Total Citations
4
H-Index
2
About
Koji Kainou’s research centers on assistive robotics for the visually impaired, with a specific focus on activities of daily living (ADL) training. His major contributions lie in developing parametric-speaker robots that enable remote, interactive training, allowing a sighted trainer to guide a visually impaired trainee through object manipulation and environmental navigation using directional audio and visual feedback. In his 2015 preliminary study, Kainou introduced a network-based robot equipped with a pan-tilt head, parametric speaker, and USB camera, which allowed real-time observation and instruction. This work addresses a critical bottleneck: the one-to-one constraint between trainer and trainee. While his most-cited papers currently hold 2 citations each, they represent foundational steps toward scalable, remote assistive training systems. Kainou’s approach uniquely combines parametric audio technology—which projects sound in a narrow beam—with robotic teleoperation, offering a non-intrusive method for delivering spatial cues. His research is notable for its early exploration of how network-based robotics can democratize access to specialized ADL training, potentially reducing the need for in-person trainers and expanding support for visually impaired individuals in remote or underserved areas.
Research Focus
Key Achievements
Top Papers
- 1
- 2