Akio Kosaka
Papers
8
Total Citations
651
H-Index
7
About
Akio Kosaka is a pioneering researcher in robotic vision and autonomous mobile robot navigation, whose work has fundamentally advanced how robots perceive and move through real-world environments. His most influential contributions center on vision-guided navigation systems that enable mobile robots to localize themselves, avoid obstacles, and move efficiently indoors using practical computational resources. His landmark 1998 paper on single-camera vision combined with ultrasonic sensing, which has garnered 233 citations, demonstrated that robust autonomous navigation could be achieved without expensive sensor arrays — a significant milestone for practical robotics. His equally influential 1992 work on model-based reasoning and uncertainty prediction (228 citations) established foundational techniques for handling the inherent unpredictability of robot motion, enabling indoor navigation at speeds approaching 10 meters per minute. Beyond navigation, Kosaka made notable contributions to hand-eye calibration and active viewpoint control, developing the SmartView system that achieves pixel-level precision for object grasping tasks. His research on 3D object localization further extended his vision-based methods to complex industrial applications. Collectively, his body of work, spanning more than a decade of sustained innovation, has shaped the foundations of modern robot vision and continues to inform autonomous systems research worldwide.
Research Focus
Key Achievements
Top Papers
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- 3Hand–Eye Calibration Applied to Viewpoint Selection for Robotic Vision65 citations · 2008
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