Narumi Mae

University of Tsukuba

Papers

4

Total Citations

23

H-Index

3

About

Narumi Mae is a pioneering researcher in rescue robotics, specializing in acoustic signal processing for disaster response. Her work focuses on enabling hose-shaped rescue robots to detect and enhance human voices in the chaotic, debris-filled environments of large-scale disasters. Mae’s major contributions include developing a low-latency, two-stage human-voice enhancement system that dramatically improves the intelligibility of survivors’ calls for help, even when masked by the robot’s own mechanical noise. Her innovative approach combines independent low-rank matrix analysis with multichannel noise cancellation to effectively suppress ego noise from vibration motors. Mae has also advanced sound source localization using binaural differences, allowing these slender, snake-like robots to pinpoint trapped victims. With over 20 citations across her key publications, her work has established critical foundations for auditory perception in search-and-rescue robotics. Her 2017 paper on the two-stage enhancement system remains a seminal reference in the field, demonstrating how careful acoustic engineering can give rescue robots a “listening” capability that directly saves lives. Mae’s research bridges signal processing, robotics, and humanitarian technology, making her a vital contributor to next-generation disaster response systems.

Research Focus

Key Achievements

3
H-Index
4
Papers
23
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Low Latency and High Quality Two-Stage Human-Voice-Enhancement System for a Hose-Shaped Rescue Robot
13 citations · 2017
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: University of Tsukuba

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago