Overview of Learning Based Model Predictive Control For Autonomous Racing
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Simulation: Learning Model Predictive Control for Autonomous Racing
Berkeley MPC Lab's Iterative Learning Model Predictive Control (LMPC)
Learning-based MPC controller for autonomous vehicles
MPCC with Gaussian Process Based Model Learning for Autonomous Racing
Obstacle Avoidance using Learning Model Predictive Control
Learning Model Predictive Control for Autonomous Racing: Model Variation in Model Based Controller
Real-Time Online Learning for MPC using a Spatio-Temporal Gaussian Process Approximation
A Nonlinear Model Predictive Control Strategy for Autonomous Racing of Scale Vehicles
Model Learning and Contextual Controller Tuning for Autonomous Racing
Model Predictive Control Approach to Autonomous Race Driving for the F1/10 Platform
A Predictive Safety Filter for Learning-based Racing Control
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Last Updated: October 20, 2026
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Summary
Presented paper can be downloaded here: ... This lecture provides an overview of arxiv: arxiv.org/abs/2309.10716 This work presents a novel Cyan dots: sampled safe set Green dots: data used to do system identification (local least mean square) Black This video shows the data-driven improvement of an Credit to Shuqi Xu, Ugo Rosolia and Jon Gonzales @ Berkeley Multimedia attachment of the paper "A Nonlinear Welcome to the accompanying video of our paper Originally presented at IFAC WC 2020, A. Tatulea-Codrean, T. Mariani, S. Engell. Abstract: This paper addresses the challenges ... In this video we present an overview of our work on a
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