Greta Gasbarrone

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About

Greta Gasbarrone is a roboticist advancing the frontier of human-robot collaboration, with a focus on decentralized control and cooperative manipulation. Her key research areas include multi-agent systems, humanoid robotics, and model predictive control (MPC) for physical human-robot interaction. In her most cited work, "A decentralized cooperative transportation scheme for humanoid robots" (2024), she proposes an innovative MPC-based framework where two agents—a leader (human or robot with task knowledge) and a follower (robot with no prior task information)—cooperatively transport an object. The follower autonomously decides its movements based solely on perceived forces, enabling seamless collaboration without explicit communication. This contribution addresses a critical challenge in robotics: how to achieve robust, scalable cooperation in unstructured environments. With 2 citations in its early publication, the work signals growing interest in her approach. Gasbarrone’s research has implications for manufacturing, disaster response, and assistive robotics, where robots must intuitively work alongside humans. Her achievements include bridging theoretical control methods with practical human-robot systems, positioning her as an emerging leader in decentralized multi-robot coordination.