Nicola Lissandrini

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About

Nicola Lissandrini is a leading researcher in cooperative robotics, with a focus on enabling complex multi-robot tasks through advanced control theory. His primary research areas include decentralized nonlinear model predictive control (MPC), cooperative manipulation, and aerial-ground heterogeneous robot systems. Lissandrini’s major contributions lie in developing robust, feasibility-aware trajectory planning frameworks that allow teams of robots—such as UAVs and ground manipulators—to collaboratively transport heavy or large payloads, a task impossible for individual robots. His most-cited work, "Decentralized Nonlinear MPC for Robust Cooperative Manipulation by Heterogeneous Aerial-Ground Robots" (2020, 20 citations), pioneered a decentralized approach that ensures stability and coordination under real-world constraints. Building on this, his 2021 paper on "Model Predictive Control for Cooperative Transportation with Feasibility-Aware Policy" (7 citations) introduced policies that dynamically adjust to maintain operational feasibility. Lissandrini also advanced aerial robotics with his work on dual quaternion delay compensating maneuver regulation for fully actuated UAVs (2020, 4 citations), addressing trajectory tracking challenges from external disturbances. His research is highly impactful for students and researchers in robotics, offering scalable solutions for logistics, disaster response, and industrial automation.