Papers
57
Total Citations
1,112
H-Index
17
About
Natsuki Yamanobe is a prominent robotics researcher whose work spans robotic manipulation, human-robot interaction, and the cognitive underpinnings of machine intelligence. With a career bridging foundational manipulation planning and cutting-edge human-centered robotics, Yamanobe has made substantial contributions to how robots grasp, reorient, and place objects in real-world environments. Early work on grasp planning for parallel grippers, dual-arm pick-and-place systems, and object placement validation laid critical groundwork for practical robotic deployment, collectively amassing over 170 citations. Yamanobe's influential 2017 review of affordance in robotic manipulation — arguing that affordance-based reasoning could unlock human-like manipulation intelligence — has since become a valued reference in the field. More recently, the research focus has expanded into human-robot collaboration, producing a highly cited 2022 systematic review on quality metrics in human-robot interaction (257 citations), as well as pioneering work quantifying human states during physical interactions. Reviews on affective engineering in social robots and task allocation complexity in collaborative settings further demonstrate a commitment to making robots not only capable, but genuinely compatible with human partners — a vision increasingly central to Industry 5.0.
Research Focus
Key Achievements
Top Papers
- 1
- 2A brief review of affordance in robotic manipulation research65 citations · 2017
- 3Part-based grasp planning for familiar objects56 citations · 2016
- 4Pick and place planning for dual-arm manipulators47 citations · 2012
- 5
- 6Validating an object placement planner for robotic pick-and-place tasks40 citations · 2014
- 7
- 8A regrasp planning component for object reorientation40 citations · 2018
- 9
- 10