Taiki Onishi
Papers
1
Total Citations
8
H-Index
1
About
Taiki Onishi is a researcher whose work bridges robotics, sensing, and intelligent systems, with a particular focus on localization and environmental perception. His most cited paper, "Localization of passive RFID tags with robot using adaptive likelihood distribution algorithm" (2007, 8 citations), addresses a foundational challenge in mobile robotics: enabling robots to recognize and navigate their surroundings by localizing passive RFID tags. Onishi’s adaptive likelihood distribution algorithm improved the accuracy and reliability of tag-based localization, offering practical applications for robot navigation and assistive systems for pedestrians. This contribution is notable for its integration of low-cost RFID technology with probabilistic methods, laying groundwork for context-aware robotic systems. While his citation count reflects a focused, early-career impact, Onishi’s work demonstrates a clear commitment to solving real-world sensing problems. His research is particularly relevant to students and engineers interested in sensor fusion, mobile robotics, and human-centered navigation technologies.
Research Focus
Key Achievements
Top Papers
- 1