Yuta Ii

Papers

Total Citations

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About

Yuta Ii is a robotics researcher whose work centers on autonomous mobile robot localization and environmental perception, with a particular focus on omni-directional vision systems. His most cited paper, "Self-localization based on image features of omni-directional image" (2012, 4 citations), addresses a critical challenge in RoboCup soccer middle-size robot league: enabling robots to accurately determine their position on the field using omni-mirror cameras. Ii's contribution lies in developing a self-localization method that extracts white line features from omni-directional images, a practical approach that improves robot autonomy in dynamic, competitive environments. While his citation count is modest, his work is notable for its direct application in RoboCup, a prestigious international robotics competition that drives innovation in real-time perception and navigation. Ii's research bridges computer vision and mobile robotics, offering foundational techniques for teams seeking robust localization without relying on external markers. His focus on omni-vision systems highlights a key area in field robotics, where comprehensive environmental awareness is essential for autonomous operation.