Ryuki Funakubo
Papers
5
Total Citations
22
H-Index
4
About
Ryuki Funakubo is a robotics researcher whose work centers on the intersection of computer vision, robotic manipulation, and textile automation. His primary focus lies in developing intelligent systems capable of recognizing and handling deformable objects — particularly cloth and garments — a notoriously difficult challenge in industrial robotics. Funakubo's most significant contribution is the advancement of photo-model-based matching techniques, which enable robots to identify unique clothing items across varying illumination conditions, poses, and visual patterns. His research directly addresses a critical gap in garment manufacturing automation, where robots have historically struggled with the unpredictable, non-rigid nature of fabric. Among his notable achievements is the development of dual-eye and dual hand-eye camera systems that enhance 3D recognition accuracy for cloth handling tasks, bridging the gap between human perceptual adaptability and robotic capability. His papers from 2016 to 2018 have collectively garnered over 20 citations, reflecting a growing interest in applying these methods to real-world factory settings. Funakubo's work holds meaningful implications for the garment industry, where automation of deformable object handling could significantly improve efficiency, precision, and scalability in production environments.
Research Focus
Key Achievements
Top Papers
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