Tadashi Nakanishi

Kansai University

Papers

1

Total Citations

2

H-Index

1

About

Tadashi Nakanishi has made focused contributions to the field of indoor mobile robot navigation, particularly through the integration of passive RFID systems for obstacle prediction and correction. His work addresses critical challenges in assistive robotics for elderly and disabled populations, emphasizing low-cost, simple-composition solutions. His most-cited paper, "Moving correction method of a mobile robot using passive RFID system based on obstacle prediction" (2014), proposes a novel approach to enhance robot movement accuracy by leveraging passive RFID tags to predict and avoid obstacles in real time. While his citation count remains modest—with 2 citations for this key work—Nakanishi’s research is notable for its practical orientation toward real-world deployment in cluttered indoor environments. His methodology combines RFID-based localization with predictive algorithms, offering a scalable alternative to more expensive sensor systems. This work contributes to the broader goal of making assistive robotics more accessible and reliable, particularly in settings where cost and simplicity are paramount. Nakanishi’s research underscores the potential of passive RFID technology to improve autonomous navigation for vulnerable populations.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Moving correction method of a mobile robot using passive RFID system based on obstacle prediction
2 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Kansai University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago