Katsutoshi Sakata
Papers
3
Total Citations
19
H-Index
2
About
Katsutoshi Sakata is a researcher in service robotics, with a primary focus on interactive object recognition systems that enable robots to operate effectively in complex, real-world environments. His work addresses a critical challenge in autonomous robotics: the difficulty of recognizing objects in natural, cluttered settings where traditional vision systems often fail. Sakata’s major contribution lies in developing systems that combine autonomous recognition with human-robot interaction, allowing robots to engage in simple verbal exchanges—such as asking about an object’s color or spatial relationship—to resolve ambiguities. This interactive approach significantly improves recognition accuracy when autonomous methods alone are insufficient. His most-cited paper, “Object recognition in service robots: Conducting verbal interaction on color and spatial relationship” (2009, 9 citations), exemplifies this innovation by proposing a system that uses dialogue to refine object identification. Sakata’s research has laid groundwork for more adaptive, user-friendly service robots, bridging the gap between machine perception and human communication. His work remains influential for students and researchers exploring human-robot collaboration and interactive computer vision.
Research Focus
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Top Papers
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