Papers
8
Total Citations
122
H-Index
5
About
Ahmadreza Ahmadi is a pioneering researcher at the intersection of neurorobotics, cognitive science, and human-robot interaction. His work centers on developing computational models of social cognition, particularly how robots can learn to perceive, predict, and imitate human actions through predictive coding and active inference frameworks. Ahmadi’s major contribution lies in demonstrating how deep dynamic neural networks can enable robots to cope with the inherent fluctuations and spatio-temporal complexity of real-world human movement patterns. His most cited work (51 citations) explores how iterative learning of action-caused perceptual patterns allows robots to develop adequate cognitive functions for recognizing and generating actions. Ahmadi is also the creator of Dimitri, an open-source, low-cost compliant humanoid robot torso designed to democratize cognitive robotics research. This platform, with its modular compliant joints and 13 degrees of freedom, has enabled advanced studies in force-aware manipulation and human-robot interaction. His interdisciplinary approach—bridging developmental psychology, phenomenology, and computational neuroscience—positions him as a key figure in advancing neurorobotic models of primary intersubjectivity and social learning.
Research Focus
Key Achievements
Top Papers
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- 3Predictive coding-based deep dynamic neural network for visuomotor learning18 citations · 2017
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- 5Dimitri: an Open-Source Humanoid Robot with Compliant Joint9 citations · 2017
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