Papers
59
Total Citations
1,312
H-Index
20
About
Peter Ford Dominey is a pioneering researcher at the intersection of cognitive neuroscience, robotics, and language acquisition, whose work has fundamentally advanced our understanding of how robots can interact meaningfully with humans. Based at the Institut des Sciences Cognitives Marc Jeannerod in Lyon, France, Dominey has built a distinguished career developing neurophysiologically inspired computational models that bridge biological cognition and artificial systems. His most celebrated contributions involve human-robot cooperation, particularly demonstrating how social cues like gaze can accelerate collaborative performance — work that has garnered over 145 citations. Dominey has been instrumental in developing cognitive architectures for humanoid robots, including the notable DAC-h3 framework, which enables robots to proactively explore and acquire knowledge about themselves and their environment. His research on echo state networks for grammatical construction learning represents a landmark contribution to language acquisition in robotic systems, while his reinforcement learning models draw directly from primate neurophysiology to solve real-world robotics challenges. With a body of work accumulating hundreds of citations, Dominey's research has significantly shaped how scientists conceptualize shared intentions, cooperative learning, and language-grounded interaction between humans and intelligent machines, making him an essential figure for researchers in cognitive robotics and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 4The basis of shared intentions in human and robot cognition63 citations · 2009
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