Description
Title: Scaling Tiny Vision-Language-Action Models to Real-Time Edge Robotics
Bio: Adil Zouitine is a founding research scientist at UMA, where he works on general-purpose mobile and humanoid robots capable of learning in real time. He holds a PhD in robust reinforcement learning, supervised by Emmanuel Rachelson. His research focuses on robustness to disturbances, sample efficiency, generalization, and adversarial reinforcement learning.
After completing his PhD, Adil joined Hugging Face, where he helped build LeRobot, an open-source library for robot learning. He is also an active contributor to several open-source projects, including River, the online machine learning counterpart to scikit-learn.