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Autonomous Racing using Learning Model Predictive Control
https://arxiv.org/abs/1610.06534#:~:text=A%20novel%20learning%20Model%20Predictive%20Control%20technique%20is,to%20improve%20its%20performance%20while%20satisfying%20safety%20requirements.
Learning-Based Model Predictive Control for …
https://ieeexplore.ieee.org/abstract/document/8754713/
Abstract: In this letter, we present a learning-based control approach for autonomous racing with an application to the AMZ Driverless race car gotthard. One major issue in autonomous racing is that accurate vehicle models that cover the entire performance envelope of a race car are highly nonlinear, complex, and complicated to identify, rendering them …
Learning-Based Model Predictive Control for …
https://www.researchgate.net/publication/334287528_Learning-Based_Model_Predictive_Control_for_Autonomous_Racing
The learning-based model predictive control (LB-MPC) is an effective and critical method to solve the path tracking problem in mobile platforms under uncertain disturbances.
Learning-Based Model Predictive Control for …
https://www.semanticscholar.org/paper/Learning-Based-Model-Predictive-Control-for-Racing-Kabzan-Hewing/77b3f96aeb3a74e7bc864695904d5f35c8dea1b9
IEEE Robotics and Automation Letters. In this letter, we present a learning-based control approach for autonomous racing with an application to the AMZ Driverless race car gotthard. One major issue in autonomous racing is that accurate vehicle models that cover the entire performance envelope of a race car are highly nonlinear, complex, and complicated to …
Learning-based Model Predictive Control for Autonomous …
https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/351561/08754713.pdf
Learning-based Model Predictive Control for Autonomous Racing Juraj Kabzan 1, Lukas Hewing , Alexander Liniger 2, and Melanie N. Zeilinger 1 Abstract In this paper, we present a learning-based control approach for autonomous racing with an application to the AMZ Driverless race car gotthard. One major issue in autonomous racing is that accurate vehicle models that cover the …
Learning-based Model Predictive Control for Autonomous …
https://www.youtube.com/watch?v=bjlT-6KVQ7U
The resulting formulation is an online learning data-driven Model Predictive Controller, which uses Gaussian Processes regression to take residual model uncertainty into account and achieve safe...
Learning-based Model Predictive Control for Autonomous Racing ...
https://www.research-collection.ethz.ch/handle/20.500.11850/351561
Model Learning for Control; Learning and Adaptive Systems; Model Predictive Control; Autonomous Racing. Organisational unit. 09563 - Zeilinger, Melanie / Zeilinger, Melanie Funding. ... Learning-based Model Predictive Control for Autonomous Racing. Mendeley; CSV; RIS; BibTeX; Download. Full text (accepted version) (PDF, 1.369Mb) Open access ...
GitHub - mlab-upenn/LearningMPC: Learning based …
https://github.com/mlab-upenn/LearningMPC
LearningMPC Learning based Model Predictive Control for online iterative trajectory optimization for F1/10 autonomous racing. The F1/10 hardware used for experiments: The car is learning to improve its racing policy iteratively online as it completes more and more laps, until the policy converges to a minimum lap time.
Repetitive learning model predictive control: An …
https://ieeexplore.ieee.org/document/8264027/
Repetitive learning model predictive control: An autonomous racing example Abstract: We propose an optimization based, data-driven framework to design controllers for repetitive tasks. The proposed framework builds on previous work of Learning Model Predictive Control and focuses on problems where the terminal condition of one iteration is the initial …
GitHub - alexliniger/MPCC: Model Predictive Contouring …
https://github.com/alexliniger/MPCC
The approach shows good results in simulation when the simulation model had a severe model mismatch. Learning-based model predictive control for autonomous racing. Kabzan, J., Hewing, L., Liniger, A. and Zeilinger, M.N. Learning-based model predictive control for autonomous racing. IEEE Robotics and Automation Letters, 2019, 4(4), pp.3363-3370.
[PDF] Learn-to-Race Challenge 2022: Benchmarking Safe …
https://www.semanticscholar.org/paper/Learn-to-Race-Challenge-2022%3A-Benchmarking-Safe-and-Francis-Chen/0a40a405a1ea603530b8e933e620a0a0da4cb72e
A learning-based control approach for autonomous racing with an application to the AMZ Driverless race car gotthard, which uses Gaussian processes regression to take residual model uncertainty into account and achieve safe driving behavior. 96 Highly Influential PDF View 4 excerpts, references methods and background
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