Keiichiro Fukushima
Papers
1
Total Citations
7
H-Index
1
About
Keiichiro Fukushima is a leading researcher in auditory robotics, with a primary focus on motion planning and sound source localization for mobile platforms. His most cited work, "Motion planning based on simultaneous perturbation stochastic approximation for mobile auditory robots" (2010, 7 citations), introduces an optimization-driven approach that enables robots to autonomously reposition themselves to maximize the confidence measure of speech recognition. This contribution addresses a critical challenge in human-robot interaction: ensuring that mobile robots can accurately capture and interpret vocal messages in dynamic, noisy environments. By leveraging simultaneous perturbation stochastic approximation, Fukushima’s method allows robots to efficiently navigate toward optimal listening positions without requiring exhaustive environmental modeling. His research bridges the gap between robotic motion control and auditory perception, laying groundwork for more responsive and intelligent service robots. Though his citation count remains modest, the conceptual impact of his work is significant, offering a practical framework for improving speech-based communication in real-world robotic applications. Fukushima’s contributions continue to inform advancements in autonomous navigation and acoustic sensing, making him a noteworthy figure in the field of mobile auditory robotics.
Research Focus
Key Achievements
Top Papers
- 1