Papers
82
Total Citations
1,181
H-Index
17
About
Kimitoshi Yamazaki is a robotics researcher whose work sits at the intersection of assistive robotics, robotic manipulation, and human-centered automation — areas of growing urgency as societies worldwide grapple with aging demographics. His most influential contribution, "Home-Assistant Robot for an Aging Society" (2012, 185 citations), established a foundational framework for deploying robots to support elderly and single-person households, positioning him as a key voice in socially motivated robotics research. Yamazaki has made sustained contributions to the challenging problem of cloth and garment manipulation, developing novel techniques for detecting fabric from wrinkle features, unfolding rectangular cloths, and even enabling humanoid robots to assist with dressing tasks — work that bridges computer vision, motion planning, and physical human-robot interaction. His deep learning-based EMD Net (2018) brought neural approaches to cloth state estimation, attracting considerable attention with 65 citations. Beyond soft-material manipulation, he has explored grasp planning for unknown objects, kitchen environment robotics, and continuum robots for search-and-rescue applications. His survey on robotic manipulation benchmarking (62 citations) further reflects his commitment to advancing the broader research community. Collectively, his publications have garnered over 600 citations, underscoring his meaningful and growing influence in applied robotics.
Research Focus
Key Achievements
Top Papers
- 1Home-Assistant Robot for an Aging Society185 citations · 2012
- 2EMD Net: An Encode–Manipulate–Decode Network for Cloth Manipulation65 citations · 2018
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- 7A grasp planning for picking up an unknown object for a mobile manipulator40 citations · 2006
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