Yokota
Papers
1
Total Citations
3
H-Index
1
About
Yokota is a robotics researcher whose work focuses on the integration of sensor-based navigation systems for autonomous mobile robots. Their most notable contribution is the development of a Kinect-sensor-based navigation component designed for JAUS (Joint Architecture for Unmanned Systems) compliant mobile robots, published in 2012. This work addresses the challenge of enabling robots to perceive and navigate their environment using affordable, off-the-shelf depth-sensing technology, making autonomous navigation more accessible and practical for research and industrial applications. While the paper has garnered 3 citations, it represents a foundational step in bridging low-cost sensors with standardized robotic architectures. Yokota’s research contributes to the broader field of human-robot interaction and autonomous systems, emphasizing the importance of modular, interoperable components for robotic platforms. Their work is particularly valuable for students and researchers interested in practical implementations of navigation systems, offering insights into how consumer-grade sensors can be leveraged for complex robotic tasks.
Research Focus
Key Achievements
Top Papers
- 1