Kazunori Kano
Papers
1
Total Citations
2
H-Index
1
About
Kazunori Kano is a researcher focused on the automation of soft material handling, particularly in the apparel and medical industries. His work addresses the challenge of automating the manipulation of non-linear, deformable materials like cloth, which traditionally require human dexterity. Kano’s major contribution lies in developing contour tracking methods for soft sheet materials using local contour image data, enabling robots to perceive and follow the edges of fabric without relying on global shape models. This approach is critical for tasks such as fabric folding, draping, and assembly in manufacturing and caregiving contexts. While his most-cited paper, “Contour Tracking of Soft Sheet Materials Using Local Contour Image Data” (2012), has 2 citations, it represents a foundational step in a niche but industrially vital field. Kano’s work bridges robotics, computer vision, and material science, offering practical solutions for automating processes that have long resisted mechanization. His research is particularly relevant to students and engineers seeking to advance flexible automation in textiles, healthcare, and service robotics.
Research Focus
Key Achievements
Top Papers
- 1Contour Tracking of Soft Sheet Materials Using Local Contour Image Data2 citations · 2012