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About

Francesco La Mura is a robotics researcher specializing in parallel kinematics manipulators (PKMs), hardware-in-the-loop (HIL) testing, and advanced motion control for high-inertia applications. His major contributions center on developing workspace limiting strategies and position-based-admittance-control architectures that enable safe, smooth manipulation of heavy objects by six-degree-of-freedom force-controlled PKMs. Notably, his work on a high-performance motion planner for HIL systems directly supported the LIFES50+ project, replicating combined aerodynamic and hydrodynamic loads on floating offshore wind turbine models in wind tunnel test facilities—a critical step for renewable energy innovation. His most cited paper (15 citations) presents an efficient workspace limiting strategy for PKMs handling high-inertia payloads, while his HIL motion planner paper (10 citations) demonstrates real-world impact in advanced energy research. La Mura has also contributed to drive chain friction characterization and digital twin development for the HexaFloat PKM, bridging simulation and physical testing. His research is foundational for improving precision, safety, and realism in robotic HIL simulations, with direct applications in offshore wind energy and industrial automation.