Renato Miyagusuku
Papers
19
Total Citations
216
H-Index
9
About
Renato Miyagusuku is a leading researcher in mobile robotics, specializing in localization, mapping, and autonomous navigation for real-world environments. His work bridges practical industrial applications and robust algorithmic solutions, with a focus on omnidirectional mobile robots, wireless signal-based localization, and perception in challenging settings. He has made significant contributions to compact omni wheel robot design, proposing novel wheel arrangements that reduce vibration and enable automation in tight industrial spaces (37 citations). Miyagusuku is also recognized for advancing Gaussian Processes for indoor robot localization, integrating path loss models to improve wireless signal mapping accuracy (27 citations). His innovative approaches to detecting and solving the kidnapped robot problem—using laser range finders and WiFi signals—have enhanced localization reliability (22 citations). Additionally, he has developed neural network-based methods for building glass confidence maps, improving SLAM performance in glass-heavy environments (22 citations). With over 180 total citations across his top ten papers, Miyagusuku’s work on magnetic-based navigation and autonomous garbage collection robots further demonstrates his commitment to deploying robots in complex, real-world terrains. His research continues to shape the future of autonomous mobile robotics in industrial and service applications.
Research Focus
Key Achievements
Top Papers
- 1Wheel Arrangement of Four Omni Wheel Mobile Robot for Compactness37 citations · 2022
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- 7Omni Wheel Arrangement Evaluation Method Using Velocity Moments14 citations · 2023
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