Taiki Yano
Papers
3
Total Citations
44
H-Index
2
About
Taiki Yano is a roboticist whose work sits at the intersection of manipulation, perception, and real-world automation. His primary research areas include mobile dual-arm manipulation, robotic grasping, and 6DoF object-pose estimation, with a strong focus on logistics and retail applications. Yano’s most cited work introduces a mobile dual-arm robot equipped with universal vacuum grippers (UVGs) that adapt to varied item shapes, enabling autonomous stocking and disposal in convenience stores. This system, published in 2019, has garnered 39 citations and demonstrates a practical, scalable solution for unstructured environments. More recently, Yano has advanced object recognition for logistics with surface-graph-based pose estimation for shrink-wrapped items, and his 2025 paper on parameterized B-rep-based surface correspondence (Pabsco) tackles category-level 3D matching for multi-part items, aiming to reduce preparation costs while boosting accuracy. These contributions are critical for mixed-depalletizing robots and warehouse automation. Yano’s work bridges the gap between academic robotics and industrial deployment, offering robust, adaptable systems that push the boundaries of what autonomous robots can achieve in cluttered, real-world settings.
Research Focus
Key Achievements
Top Papers
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