About

Yasuyo Kita is a robotics researcher whose work centers on robotic manipulation of deformable objects, with a particular focus on clothing handling and computer vision for autonomous systems. Her most significant contributions lie in developing intelligent strategies that enable robots to recognize and manipulate highly deformable garments — a notoriously challenging problem due to complex shape variation and self-occlusion that rigid-object manipulation techniques cannot address. Kita's most influential work, "Clothes Handling Based on Recognition by Strategic Observation" (2011, 41 citations), introduced the concept of using purposeful robotic actions to actively simplify visual recognition tasks during clothing manipulation. Complementary papers on dual-arm clothing handling (35 citations) and action-cooperative visual recognition (21 citations) established her as a leading voice in this specialized domain. Her research extended into physical edge detection for garment recognition (2017) and cloth unfolding through dual edge classification (2021), demonstrating sustained innovation over more than a decade. Beyond clothing robotics, Kita contributed to industrial applications including dual-arm random bin-picking systems (30 citations) and camera-based inspection technologies for nuclear power plants. Across her career, her work has collectively accumulated over 160 citations, reflecting meaningful influence on the robotics community's understanding of deformable object manipulation and robot perception.

Research Focus

Key Achievements

6
H-Index
11
Papers
163
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Clothes handling based on recognition by strategic observation
41 citations · 2011
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: National Institute of Advanced Industrial Science and Technology, Tokyo University of Science, University of Electro-Communications, Systems Research Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago