Toshihiko Kanbara
Papers
2
Total Citations
13
H-Index
2
About
Toshihiko Kanbara is a leading researcher in mobile robotics, with a core focus on autonomous navigation, visual sensing, and uncertainty management in robotic systems. His seminal work, "A Method of Planning Movement and Observation for a Mobile Robot Considering Uncertainties of Movement, Visual Sensing, and a Map," published in 1999 and 2000, has garnered over 13 citations, establishing a foundational framework for route selection in vision-guided robots. Kanbara’s major contribution lies in developing a method that allows robots to generate candidate routes and expand them into possible loci while accounting for map uncertainty, enabling robust movement and observation planning even with imperfect odometry and visual data. This approach directly addresses the critical challenge of real-world deployment, where sensor noise and environmental unpredictability are inevitable. By integrating uncertainties from movement, visual sensing, and mapping into a unified planning algorithm, Kanbara has advanced the field of intelligent robotics, providing a practical solution for autonomous systems operating in dynamic environments. His work remains influential for researchers and students exploring probabilistic robotics and sensor fusion, highlighting the importance of adaptive planning in achieving reliable robot navigation.
Research Focus
Key Achievements
Top Papers
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- 2