Yasutake Shinichiro
Papers
1
Total Citations
2
H-Index
1
About
Shinichiro Yasutake is a pioneering researcher in robotic manipulation of deformable objects, with a primary focus on vision-based cloth handling systems. His most cited work, "Verification of recognition performance of cloth handling robot with photo-model-based matching" (2017), addresses a critical challenge in industrial automation: enabling robots to recognize and handle highly deformable materials like fabrics and strings. Yasutake's key contribution lies in developing photo-model-based matching techniques that allow robots to overcome the inherent difficulties of 3D cloth recognition, where traditional rigid-object approaches fail. His research directly targets two fundamental problems in garment factory automation—accurate cloth identification and reliable handling performance. While his citation count remains modest at 2, the work holds significant practical implications for the textile and apparel industries, where labor-intensive processes could benefit from automation. Yasutake's approach represents an important step toward making deformable object manipulation viable for real-world manufacturing, bridging the gap between computer vision and robotic grasping in challenging, non-rigid environments.
Research Focus
Key Achievements
Top Papers
- 1