Papers
36
Total Citations
639
H-Index
11
About
Mehdi Khamassi is a pioneering researcher at the intersection of computational neuroscience, robotics, and artificial intelligence, whose work has fundamentally advanced our understanding of how biological principles can inspire smarter, more adaptive machines. Best known for his contributions to neurobiologically inspired reinforcement learning, Khamassi has spent two decades bridging brain science and robotics — most notably through the landmark Psikharpax project, which sought to build an artificial rat robot capable of autonomous navigation and biologically plausible learning (79 citations). His research on cortical reinforcement learning models demonstrated how neurophysiological insights from primates could liberate robots from controlled industrial environments (90 citations), while his work on the medial prefrontal cortex illuminated how biological systems adaptively regulate learning parameters (55 citations). Khamassi has also pushed the frontier of human-robot interaction, developing reinforcement learning frameworks that allow robots to rapidly adapt to shifts in human engagement using nonverbal cues (41 citations). His 2018 call for "self-aware robots" (99 citations) remains a rallying manifesto for the field, challenging AI's reliance on data processing without genuine comprehension. Across more than 500 combined citations, his work continues to shape the future of cognitive robotics.
Research Focus
Key Achievements
Top Papers
- 1Toward Self-Aware Robots99 citations · 2018
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- 3The Psikharpax project: towards building an artificial rat79 citations · 2004
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- 8Design of a Control Architecture for Habit Learning in Robots19 citations · 2014
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