S. Kurotaki

Keio University

Papers

1

Total Citations

14

H-Index

1

About

S. Kurotaki is a researcher in reconfigurable computing and real-time audio processing, with a focus on dynamically reconfigurable architectures for robotic auditory systems. Their most-cited work, "Implementation of active direction-pass filter on dynamically reconfigurable processor" (2005, 14 citations), introduces a novel sound source separation system that enables robots to extract specific audio signals from noisy, real-world environments using an active direction-pass filter (ADPF). This contribution is pivotal for advancing robotic perception, allowing machines to isolate and process multiple overlapping sounds—a critical capability for autonomous navigation and human-robot interaction. Kurotaki’s research bridges hardware-software co-design and signal processing, demonstrating how reconfigurable devices can achieve efficient, low-latency audio filtering. While their citation count reflects a specialized niche, the work has influenced subsequent studies in embedded systems and robot audition. Kurotaki’s achievements underscore the importance of adaptive hardware in solving complex sensory challenges, marking them as a key contributor to the intersection of reconfigurable computing and real-world audio intelligence.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Implementation of active direction-pass filter on dynamically reconfigurable processor
14 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Keio University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago