Papers

7

Total Citations

24

H-Index

3

About

Taku Itami is a robotics researcher whose work spans disaster response robotics, assistive technology for individuals with disabilities, and healthcare ergonomics. His primary research areas include real-time obstacle detection for autonomous mobile robots, exoskeletal assistive devices, and sensor-based posture monitoring. Itami’s most impactful contribution is a monocular camera and line laser system that enables real-time obstacle distance measurement independent of ambient brightness—critical for search-and-rescue operations in dark or smoke-filled environments. His 2022 paper on this topic has garnered 10 citations, the highest among his works. He has also developed a novel remaining force transferring mechanism for exoskeletal robots, allowing upper-limb disabled individuals to operate wheelchairs, and a twisting posture detection system using triaxial accelerometers to prevent occupational low back pain in nurses and caregivers. More recently, Itami has explored point cloud denoising with hidden point removal for detecting sprinting individuals using LiDAR. His work demonstrates a consistent commitment to practical, real-world applications that enhance safety, mobility, and well-being in both emergency and everyday settings.

Research Focus

Key Achievements

3
H-Index
7
Papers
24
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Real-time obstacle detection in a darkroom using a monocular camera and a line laser
10 citations · 2022
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Aoyama Gakuin University, Mie University, Tsu City College

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago