Kazuhiko Tanaka
Papers
1
Total Citations
12
H-Index
1
About
Kazuhiko Tanaka is a leading figure in robotics and sensor-based localization, with a particular focus on integrating RFID technology into autonomous systems. His most influential work, "A Supervised Learning Approach to Robot Localization Using a Short-Range RFID Sensor" (2007), addresses a critical challenge in robotics: accurate positioning using low-cost, passive RFID tags. Tanaka’s key contribution lies in demonstrating how standard RFID readers can serve as reliable landmark sensors, leveraging the unique ID of each tag to eliminate the complex data association problem that plagues traditional localization methods. By applying supervised learning, his approach enables robots to infer their position from sparse, noisy RFID readings, achieving robust performance in real-world environments. This work, cited 12 times, has proven foundational for researchers exploring cost-effective navigation solutions in logistics, warehouse automation, and indoor robotics. Tanaka’s research bridges the gap between practical sensor limitations and algorithmic innovation, offering a scalable framework that continues to inspire new work in RFID-based mapping and autonomous exploration.
Research Focus
Key Achievements
Top Papers
- 1