Yoshitaka Goto
Papers
2
Total Citations
33
H-Index
2
About
Yoshitaka Goto is a robotics researcher whose work has advanced autonomous navigation for mobile robots operating in challenging outdoor environments. His primary research areas include Simultaneous Localization and Mapping (SLAM), sensor fusion, and particle filter-based localization. Goto's most influential contribution is his development of a laser rangefinder-based SLAM algorithm for mobile robot navigation, published in 2007, which has accumulated 28 citations. This work introduced a novel implementation enabling robots to navigate unknown outdoor settings, such as the IGVC Navigation Challenge, by using relative obstacle observation profiles from laser rangefinders. Building on this foundation, his 2008 paper on applying particle filters to autonomous navigation systems (5 citations) addressed critical limitations of traditional extended Kalman filter approaches in GPS and INS integration. Goto's research demonstrates a clear progression from foundational SLAM implementations to more robust probabilistic localization methods, showing how particle filters can improve performance when EKF-based methods degrade. His work remains relevant for researchers developing autonomous systems for unstructured outdoor environments, particularly those working on navigation challenges that require reliable self-localization without prior environmental knowledge.
Research Focus
Key Achievements
Top Papers
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- 2