Masaya Itoh
Papers
2
Total Citations
6
H-Index
2
About
Masaya Itoh’s research centers on autonomous mobile robotics, with a particular focus on navigation, safety, and perception in dynamic environments. His most cited work, “Mobile Robot Navigation in Warehouses by MPC Handling Multiple Travel Strategies Considering Independent Safety LiDAR” (2024), introduces a model predictive control framework that integrates multiple travel strategies with independent safety LiDAR systems, enabling robust and efficient trajectory planning and tracking in cluttered warehouse settings. This contribution addresses a critical gap in conventional navigation systems, which often struggle to reconcile onboard sensor data with real-time obstacle avoidance. Earlier, Itoh developed the “Robust Object Detection based on Radial Reach Filter for Mobile Robots” (2006), a technique designed to detect moving objects in time-series images despite challenging brightness variations—a key capability for environmental monitoring and rescue robotics. Though his citation counts remain modest, with 4 and 2 citations respectively, his work demonstrates a sustained commitment to practical, safety-critical improvements in mobile robot autonomy. Itoh’s research is particularly valuable for students and engineers seeking to understand how advanced control and perception techniques can be tailored for real-world industrial and emergency-response applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust Object Detection based on Radial Reach Filter for Mobile Robots2 citations · 2006