Kazuya Sugimoto
Papers
2
Total Citations
21
H-Index
2
About
Kazuya Sugimoto is a robotics researcher whose work focuses on advancing autonomous navigation and human-robot interaction for critical applications. His key research areas include mobile robot navigation, sensor fusion, and augmented reality interfaces for remote control systems. Sugimoto’s major contributions are twofold: he pioneered a method for creating “half-diminished reality” images using three RGB-D sensors, enabling safer remote operation of disaster response robots by reducing visual clutter (17 citations). More recently, he developed a Model Predictive Control (MPC) framework for warehouse robots that handles multiple travel strategies while integrating independent safety LiDAR data, addressing the challenge of balancing efficiency and safety in dynamic environments (4 citations). His work on trajectory planning and obstacle-aware navigation helps robots operate reliably alongside human workers and in unpredictable settings. Sugimoto’s research has direct implications for disaster response and logistics automation, demonstrating how robust sensor integration and intelligent control can enhance robot autonomy in real-world scenarios.
Research Focus
Key Achievements
Top Papers
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- 2