Modelling, Positioning, and Deep Reinforcement Learning Path Tracking Control of Scaled Robotic Vehicles: Design and Experimental Validation

no code implementations • 10 Jan 2024 • Carmine Caponio, Pietro Stano, Raffaele Carli, Ignazio Olivieri, Daniele Ragone, Aldo Sorniotti, Umberto Montanaro

The experimentally validated model is used for (i) supporting the design of the FEKF and (ii) serving as a digital twin for training the proposed DRL-based path tracking algorithm.