Marina Galli

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About

Marina Galli is a leading researcher in mobile robotics, with a primary focus on autonomous navigation and human-robot interaction in indoor environments. Her work bridges the gap between simulation and real-world deployment, particularly through the integration of MATLAB and the Robot Operating System (ROS). Her most cited paper, "Path planning using Matlab-ROS integration applied to mobile robots" (2017, 30 citations), demonstrates how the Robotics System Toolbox can be leveraged for designing and implementing autonomous navigation on both simulated and real platforms. In her comprehensive 2019 chapter on "Mobile Robot Navigation in Indoor Environments" (23 citations), Galli systematically categorizes and compares geometric, topological, and semantic navigation techniques, providing a foundational taxonomy for the field. She is also dedicated to robotics education, as evidenced by her 2017 conference paper on learning robotics with ROS and MATLAB using real platforms. Galli’s contributions are particularly valuable for students and researchers seeking accessible, practical pathways from theoretical algorithms to working robotic systems, making her a key figure in advancing both the science and pedagogy of autonomous navigation.