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About

Marco L. Della Vedova is a robotics researcher whose work focuses on the control and coordination of autonomous mobile robots, particularly in dynamic and human-robot coexisting environments. His key contributions lie in developing time-optimal sliding-mode control strategies and real-time navigation systems that enable robots to operate safely and efficiently in unpredictable settings. One of his most cited works, "Time-optimal sliding-mode control of a mobile robot in a dynamic environment" (2011, 44 citations), introduces an innovative approach combining harmonic potential fields for online trajectory generation with robust control to handle dynamic obstacles. Della Vedova has also made notable advances in platooning—a coordination technique where multiple robots move in close formation. His 2009 paper on "Real-time platooning of mobile robots" and the 2012 study on "Platooning control of autonomous nonholonomic mobile robots in a human-robot coexisting environment" demonstrate how gradient tracking algorithms can maintain formation while adapting to changing goals and human presence. Additionally, his work on visual interaction systems for real-time navigation (2009) highlights his commitment to practical, sensor-driven solutions. With a career spanning foundational control theory and applied multi-robot systems, Della Vedova’s research continues to influence the development of safer, more responsive autonomous vehicles and robotic teams.