Papers
29
Total Citations
418
H-Index
12
About
Takashi Omori is a multidisciplinary researcher whose work spans computational neuroscience, human-robot interaction, and artificial intelligence, with particular focus on the social and cognitive dimensions of how humans and machines relate to one another. His most-cited contribution, "Different impressions of other agents obtained through social interaction uniquely modulate dorsal and ventral pathway activities in the social human brain" (2014, 86 citations), investigates how social experiences reshape internal neural representations, revealing distinct brain pathway modulations tied to social cognition and mentalizing. This neuroscientific foundation informs his applied robotics work, where Omori has pioneered emotionally intelligent playmate robots capable of adapting to children's personalities and mental states — a particularly nuanced challenge when designing systems for shy or introverted children. His early contributions to reinforcement learning (1999, 57 citations) and symbolic behavior emergence established theoretical groundwork that continues to underpin his research. Omori has also advanced practical applications in home assistant robots capable of learning novel objects through audio-visual input, and more recently explored augmented reality systems for telexistence remote guidance. With over 270 cumulative citations, his work uniquely bridges brain science, developmental robotics, and human-centered AI, making him a distinctive voice in socially intelligent systems research.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Toward playmate robots that can play with children considering personality33 citations · 2014
- 4Emergence of symbolic behavior from brain like memory with dynamic attention25 citations · 1999
- 5
- 6Learning Novel Objects for Extended Mobile Manipulation20 citations · 2011
- 7
- 8
- 9
- 10Playmate robots that can act according to a child's mental state16 citations · 2012