Eiichi Naito
Papers
3
Total Citations
105
H-Index
3
About
Eiichi Naito is a pioneering researcher whose work bridges social neuroscience and robotics, with a focus on how the human brain represents and interacts with others. His key research areas include neural representations of social interaction, swarm robotics, and assistive robot navigation. Naito’s most impactful contribution is his 2014 study on how social interactions with different agents uniquely modulate dorsal and ventral pathway activities in the social brain, demonstrating that internal neuronal representations are shaped by experience—a finding with 86 citations that has influenced both cognitive neuroscience and human-robot interaction. He has also advanced decentralized control for swarm robots, enabling effective execution of spatially distributed tasks, and developed a collision avoidance algorithm for hospital robots that accounts for the movement characteristics of disabled individuals, including wheelchair and crutch users. This work, cited 9 times, highlights his commitment to inclusive robotics. Naito’s interdisciplinary approach—combining brain imaging, swarm intelligence, and assistive technology—positions him as a key figure in understanding and engineering social and cooperative systems.
Research Focus
Key Achievements
Top Papers
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