Yukinori Kobayashi
Papers
64
Total Citations
1,208
H-Index
16
About
Yukinori Kobayashi is a robotics researcher whose work centers on mobile robot navigation, path planning, and multi-robot systems. He is perhaps best known for his highly influential 2018 survey on path smoothing techniques in robot navigation, which has accumulated nearly 300 citations and remains a definitive reference for researchers tackling the challenge of generating fluid, executable paths for autonomous robots. His contributions extend deeply into algorithmic innovation, including the development of Smooth Hypocycloidal Paths (SHP) for collision-free multi-robot motion and the Hybrid Potential-based Probabilistic Roadmap (HPPRM) algorithm, which addresses dynamic path planning in complex environments. Kobayashi has also advanced the field of robot mapping and localization, proposing novel line detection methods using SVD and Hough transforms and robust indoor mapping frameworks for noisy environments. His multi-robot systems research is particularly creative, introducing concepts such as symbiotic navigation with obstacle knowledge sharing and "hitchhiking robots" for collaborative indoor navigation. With work spanning UAV-ground robot docking and mobile manipulator control, his cumulative citations exceed 750, reflecting broad and lasting influence across autonomous systems and intelligent robotics research.
Research Focus
Key Achievements
Top Papers
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- 3Autonomous VTOL-UAV Docking System for Heterogeneous Multirobot Team55 citations · 2020
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