Papers
68
Total Citations
1,720
H-Index
21
About
Yukie Nagai is a pioneering researcher in developmental robotics and cognitive science, whose work bridges human infant development and artificial intelligence to advance our understanding of how intelligent behavior emerges. Best known for her groundbreaking 2003 paper on joint attention — which has garnered over 212 citations — Nagai demonstrated how robots can acquire fundamentally human social capabilities through embedded visual attention mechanisms and self-evaluative learning. Her research consistently draws inspiration from parent-infant interaction, as seen in her influential investigations into "Motionese," the specialized motion caregivers use when demonstrating actions to infants, which she computationally modeled to scaffold robot action learning. Nagai has made significant contributions to human-robot collaboration, exploring when and how robots should take initiative during shared tasks. Her 2021 work on world model learning reflects her broader ambition to unlock the principles of general-purpose intelligence through predictive learning frameworks. With multiple papers exceeding 80 citations and participation in premier venues like the ACM/IEEE HRI conference, Nagai's interdisciplinary contributions have profoundly shaped developmental robotics, making her an essential voice for researchers studying embodied cognition, imitation learning, and socially intelligent machines.
Research Focus
Key Achievements
Top Papers
- 1A constructive model for the development of joint attention212 citations · 2003
- 2Efficient human-robot collaboration: When should a robot take initiative?95 citations · 2017
- 3Computational Analysis of Motionese Toward Scaffolding Robot Action Learning84 citations · 2009
- 4Learning for joint attention helped by functional development82 citations · 2006
- 5Initiative in robot assistance during collaborative task execution82 citations · 2016
- 6World model learning and inference81 citations · 2021
- 7
- 8The Eleventh ACM/IEEE International Conference on Human Robot Interaction74 citations · 2016
- 9
- 10Predictive learning: its key role in early cognitive development64 citations · 2019