Ghassan Atmeh

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About

Ghassan Atmeh is a roboticist whose work bridges the gap between theoretical control systems and practical, disaster-ready hardware. His primary research areas include adaptive model-free control, humanoid locomotion, and state estimation for aerial robots. Atmeh’s most impactful contribution is the implementation of an adaptive, model-free learning controller on the Atlas robot (22 citations), a pioneering effort that addressed the urgent need for robots capable of functioning autonomously in natural and man-made disasters. This work demonstrated that complex humanoid platforms could learn and adapt without a pre-defined dynamic model, a critical step toward field-ready rescue robots. He further advanced humanoid mobility with a neuro-dynamic walking engine (9 citations), which leverages neural-inspired methods for stable gait generation. In aerial robotics, Atmeh tackled the challenge of indoor state estimation for quadrotors (3 citations), using visual markers and low-cost hardware like the AR.Drone to achieve precise position and orientation tracking. His contributions are notable for their focus on real-world applicability, pushing the boundaries of what autonomous systems can achieve in unstructured, hazardous environments.