Teruo Onishi
Papers
1
Total Citations
15
H-Index
1
About
Teruo Onishi is a leading researcher in intelligent robotics and sensor-based localization systems, with a particular focus on the practical deployment of Radio Frequency Identification (RFID) technology. His most-cited work, "An Adaptive Likelihood Distribution Algorithm for the Localization of Passive RFID Tags" (2008, 15 citations), addresses a critical challenge in autonomous navigation: enabling mobile robots to accurately determine their position and interpret their surroundings using passive, low-cost RFID tags. Onishi’s key contribution lies in developing adaptive algorithms that improve localization precision without requiring expensive hardware, making RFID-based navigation viable for both robotic systems and pedestrian guidance applications. This work has influenced subsequent research in ubiquitous computing and assistive navigation, bridging the gap between theoretical sensor fusion and real-world deployment. By demonstrating how passive tags can serve as environmental landmarks, Onishi has helped lay the groundwork for smarter, more accessible localization systems in logistics, healthcare, and smart city infrastructure. His research continues to inspire engineers seeking robust, scalable solutions for autonomous systems operating in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1