Fumiya Ikegawa
Papers
2
Total Citations
7
H-Index
2
About
Fumiya Ikegawa is a robotics researcher specializing in the automation of deformable object manipulation, with a particular focus on cloth handling for the garment industry. His work addresses one of the most persistent challenges in robotics: enabling machines to perceive, recognize, and manipulate non-rigid materials such as fabric. Ikegawa’s key contributions center on the development of vision-based systems that use dual-eyes cameras and photo-model-based matching to achieve accurate 3D recognition of cloth. His 2018 paper, “Verification of unique cloth handling performance based on 3D recognition accuracy of cloth by dual-eyes cameras with photo-model-based matching,” has garnered 5 citations, while his earlier 2017 study on recognition performance has 2 citations. Though modest in citation count, these works are foundational in addressing the core difficulties of robotic cloth handling—namely, the variability and unpredictability of deformable objects. Ikegawa’s research is notable for bridging computer vision and robotic manipulation, offering practical solutions for automating tasks in garment factories where traditional rigid-object recognition fails. His work continues to inspire advances in industrial robotics and deformable object manipulation.
Research Focus
Key Achievements
Top Papers
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- 2