Yuki Doi
Papers
1
Total Citations
2
H-Index
1
About
Yuki Doi is a researcher focused on advancing mobile robotics, particularly in the domain of autonomous navigation through challenging environments. His key research area centers on robust path planning for mobile robots operating in rough terrain, where uneven surfaces and sensor inaccuracies pose significant challenges. Doi’s major contribution lies in developing algorithms that explicitly account for pose errors—uncertainties in a robot’s position and orientation—during the planning process, ensuring safer and more reliable traversal over rugged landscapes. This work, exemplified by his 2018 paper "Robust Path Planning Against Pose Errors for Mobile Robots in Rough Terrain," has garnered 2 citations, reflecting its niche but foundational impact in the field of field robotics. While his citation count is modest, Doi’s research addresses a critical gap in practical robot deployment, offering solutions that enhance the resilience of autonomous systems in real-world, unstructured settings. His achievements underscore a commitment to bridging theoretical planning methods with the harsh realities of outdoor robotics, making his contributions valuable for engineers and researchers developing robots for agriculture, search-and-rescue, or planetary exploration.
Research Focus
Key Achievements
Top Papers
- 1