I believe that for AI to truly understand our world, it must first move within it. At the University of Wolverhampton, my research focuses on Embodied AI: building intelligent agents that learn through the dance of perception, action, and physical interaction. By bridging the gap between high-level cognitive science and the gritty reality of robotics, I develop systems that don’t just process data—they experience it. My mission is to move intelligence out of the simulation and into the wild, creating autonomous agents capable of real-time adaptation and complex, long-horizon reasoning.George GbenleResearcher, Embodied AI
Encode/Filecoin Global Hackathon - Bridging Challenge
Encode/Filecoin Global Hackathon - Unleash Challenge
Optimism Hackathon
Employee Award for Continuous Innovation - Comms365
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