Filippo Parravicini

Papers

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About

Filippo Parravicini is a robotics researcher focused on advancing autonomous navigation for mobile robots in challenging, unstructured environments. His work spans two critical areas: safe urban navigation for autonomous systems and robust control of agile wheeled platforms. Parravicini’s most cited paper, “Extended target tracking for autonomous street crossing” (2020, 7 citations), addresses the complex problem of enabling robots to safely navigate sidewalks and cross streets by tracking surrounding vehicles—a key step toward deploying autonomous robots in pedestrian spaces. His research on “Robust State Observers for Two Wheeled Inverted Pendulum under wheel-slip” (2019, 3 citations) tackles the inherent instability of TWIP robots, which are prized for their tight turning capabilities but require sophisticated control to handle wheel slip. By developing state observers that maintain stability during adverse conditions, Parravicini contributes to making these agile UGVs more reliable for real-world missions. His work bridges perception and control, offering practical solutions for autonomous systems operating alongside humans.