Takao Katagiri
Papers
1
Total Citations
20
H-Index
1
About
Takao Katagiri has made significant contributions to the field of autonomous mobile robotics, with a particular focus on advanced ultrasonic sensing and real-time environment recognition. His research centers on developing precise, efficient distance measurement techniques that enable robots to navigate and understand their surroundings. Katagiri’s most notable work, a 2009 paper on real-time ultrasonic distance measurements using cross-correlation with single-bit signal processing, has garnered 20 citations and introduced a novel approach to improving the accuracy and speed of time-of-flight (TOF) calculations. By employing pulse compression and single-bit processing, he addressed key challenges in echo detection, reducing computational load while enhancing reliability in noisy environments. This innovation is critical for autonomous systems requiring rapid, low-power sensing. Katagiri’s contributions bridge the gap between theoretical signal processing and practical robotic applications, offering a robust framework for distance measurement that has influenced subsequent research in sensor fusion and mobile robot navigation. His work exemplifies a commitment to developing cost-effective, high-performance solutions for real-world robotics challenges.
Research Focus
Key Achievements
Top Papers
- 1