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Autonomous Racing using Learning Model Predictive Control

Autonomous Racing using Learning Model Predictive Control

20 October 2016
Ugo Rosolia
Ashwin Carvalho
Francesco Borrelli
ArXivPDFHTML

Papers citing "Autonomous Racing using Learning Model Predictive Control"

37 / 37 papers shown
Title
Gaussian-Process-based Adaptive Tracking Control with Dynamic Active Learning for Autonomous Ground Vehicles
Gaussian-Process-based Adaptive Tracking Control with Dynamic Active Learning for Autonomous Ground Vehicles
Kristóf Floch
Tamás Péni
Roland Tóth
76
0
0
24 Jan 2025
Inherently robust suboptimal MPC for autonomous racing with anytime
  feasible SQP
Inherently robust suboptimal MPC for autonomous racing with anytime feasible SQP
Logan Numerow
Andrea Zanelli
Andrea Carron
M. Zeilinger
25
9
0
04 Jan 2024
gatekeeper: Online Safety Verification and Control for Nonlinear Systems
  in Dynamic Environments
gatekeeper: Online Safety Verification and Control for Nonlinear Systems in Dynamic Environments
Devansh R. Agrawal
Rui-Wen Chen
Dimitra Panagou
24
10
0
25 Nov 2022
Outracing Human Racers with Model-based Planning and Control for
  Time-trial Racing
Outracing Human Racers with Model-based Planning and Control for Time-trial Racing
Ce Hao
Chen Tang
Eric Bergkvist
Catherine Weaver
Liting Sun
Wei Zhan
Masayoshi Tomizuka
29
2
0
17 Nov 2022
TUM autonomous motorsport: An autonomous racing software for the Indy
  Autonomous Challenge
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge
Johannes Betz
Tobias Betz
F. Fent
Maximilian Geisslinger
Alexander Heilmeier
...
Florian Sauerbeck
Tim Stahl
Rainer Trauth
Frederik Werner
A. Wischnewski
34
60
0
31 May 2022
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and
  Cross-domain Generalisation in Autonomous Racing
Learn-to-Race Challenge 2022: Benchmarking Safe Learning and Cross-domain Generalisation in Autonomous Racing
Jonathan M Francis
Bingqing Chen
Siddha Ganju
Sidharth Kathpal
Jyotish Poonganam
...
Ivan Zhukov
Max Kumskoy
Anirudh Koul
Jean Oh
Eric Nyberg
19
12
0
05 May 2022
Risk-Averse Receding Horizon Motion Planning for Obstacle Avoidance
  using Coherent Risk Measures
Risk-Averse Receding Horizon Motion Planning for Obstacle Avoidance using Coherent Risk Measures
Anushri Dixit
M. Ahmadi
J. W. Burdick
44
14
0
20 Apr 2022
Flexible development and evaluation of machine-learning-supported
  optimal control and estimation methods via HILO-MPC
Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC
J. Pohlodek
B. Morabito
Christian Schlauch
P. Zometa
R. Findeisen
6
19
0
25 Mar 2022
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
Autonomous Vehicles on the Edge: A Survey on Autonomous Vehicle Racing
Johannes Betz
Hongrui Zheng
Alexander Liniger
Ugo Rosolia
Phillip Karle
Madhur Behl
V. Krovi
Rahul Mangharam
35
212
0
14 Feb 2022
Fast and Real-time End to End Control in Autonomous Racing Cars Through
  Representation Learning
Fast and Real-time End to End Control in Autonomous Racing Cars Through Representation Learning
Praveen Venkatesh
Rwik Rana
PM Harish
11
0
0
30 Nov 2021
Adaptive Lookahead Pure-Pursuit for Autonomous Racing
Adaptive Lookahead Pure-Pursuit for Autonomous Racing
Varundev Sukhil
Madhur Behl
17
16
0
17 Nov 2021
Safe Autonomous Racing via Approximate Reachability on Ego-vision
Safe Autonomous Racing via Approximate Reachability on Ego-vision
Bingqing Chen
Jonathan M Francis
Jean Oh
Eric Nyberg
Sylvia L. Herbert
56
14
0
14 Oct 2021
RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the
  Performance of Uncertain Systems in Iterative Tasks
RLO-MPC: Robust Learning-Based Output Feedback MPC for Improving the Performance of Uncertain Systems in Iterative Tasks
Lukas Brunke
Siqi Zhou
Angela P. Schoellig
30
4
0
01 Oct 2021
Competitive Driving of Autonomous Vehicles
Competitive Driving of Autonomous Vehicles
G. Hartmann
Z. Shiller
A. Azaria
24
8
0
12 Sep 2021
Gaussian Process-based Stochastic Model Predictive Control for
  Overtaking in Autonomous Racing
Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing
T. Brüdigam
A. Capone
Sandra Hirche
D. Wollherr
M. Leibold
11
20
0
25 May 2021
Data-Driven Strategies for Hierarchical Predictive Control in Unknown
  Environments
Data-Driven Strategies for Hierarchical Predictive Control in Unknown Environments
Charlott Vallon
Francesco Borrelli
8
14
0
13 May 2021
Identification of the nonlinear steering dynamics of an autonomous
  vehicle
Identification of the nonlinear steering dynamics of an autonomous vehicle
G. Rödönyi
G. Beintema
R. Tóth
M. Schoukens
D. Pup
Á. Kisari
Z. Vígh
P. Kőrös
A. Soumelidis
J. Bokor
13
7
0
10 May 2021
A Holistic Motion Planning and Control Solution to Challenge a
  Professional Racecar Driver
A Holistic Motion Planning and Control Solution to Challenge a Professional Racecar Driver
S. Srinivasan
Sebastian Nicolas Giles
Alexander Liniger
11
19
0
28 Feb 2021
Learning from Simulation, Racing in Reality
Learning from Simulation, Racing in Reality
Eugenio Chisari
Alexander Liniger
Alisa Rupenyan
Luc Van Gool
John Lygeros
33
25
0
26 Nov 2020
Model Identification and Control of a Low-Cost Wheeled Mobile Robot
  Using Differentiable Physics
Model Identification and Control of a Low-Cost Wheeled Mobile Robot Using Differentiable Physics
Yan Luo
Abdeslam Boularias
Mridul Aanjaneya
10
1
0
24 Sep 2020
Safe Motion Planning for Autonomous Driving using an Adversarial Road
  Model
Safe Motion Planning for Autonomous Driving using an Adversarial Road Model
Alexander Liniger
Luc van Gool
14
14
0
15 May 2020
Learning Model Predictive Control for Competitive Autonomous Racing
Learning Model Predictive Control for Competitive Autonomous Racing
Lukas Brunke
6
2
0
02 May 2020
TS-MPC for Autonomous Vehicle using a Learning Approach
TS-MPC for Autonomous Vehicle using a Learning Approach
Eugenio Alcalá
O. Sename
V. Puig
J. Quevedo
11
16
0
29 Apr 2020
Optimization-Based Hierarchical Motion Planning for Autonomous Racing
Optimization-Based Hierarchical Motion Planning for Autonomous Racing
J. Vázquez
Marius Brühlmeier
Alexander Liniger
Alisa Rupenyan
John Lygeros
21
66
0
10 Mar 2020
A Survey of Deep Learning Techniques for Autonomous Driving
A Survey of Deep Learning Techniques for Autonomous Driving
Sorin Grigorescu
Bogdan Trasnea
Tiberiu T. Cocias
G. Macesanu
3DPC
31
1,377
0
17 Oct 2019
Safe and Near-Optimal Policy Learning for Model Predictive Control using
  Primal-Dual Neural Networks
Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks
Xiaojing Zhang
Monimoy Bujarbaruah
Francesco Borrelli
13
62
0
19 Jun 2019
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep
  Model-Based RL for Sparse Cost Robotic Tasks
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks
Brijen Thananjeyan
Ashwin Balakrishna
Ugo Rosolia
Felix Li
R. McAllister
Joseph E. Gonzalez
Sergey Levine
Francesco Borrelli
Ken Goldberg
OffRL
8
4
0
31 May 2019
AMZ Driverless: The Full Autonomous Racing System
AMZ Driverless: The Full Autonomous Racing System
Juraj Kabzan
M. I. Valls
Victor Reijgwart
Hubertus Franciscus Cornelis Hendrikx
Claas Ehmke
...
Abel Gawel
Mark Pfeiffer
Alexander Liniger
John Lygeros
Roland Siegwart
32
139
0
13 May 2019
Task Decomposition for Iterative Learning Model Predictive Control
Task Decomposition for Iterative Learning Model Predictive Control
Charlott Vallon
Francesco Borrelli
16
10
0
16 Mar 2019
Adaptive Trajectory Planning and Optimization at Limits of Handling
Adaptive Trajectory Planning and Optimization at Limits of Handling
Lars Svensson
Monimoy Bujarbaruah
Nitin R. Kapania
Martin Törngren
16
15
0
11 Mar 2019
Design of an Autonomous Racecar: Perception, State Estimation and System
  Integration
Design of an Autonomous Racecar: Perception, State Estimation and System Integration
M. I. Valls
Hubertus Franciscus Cornelis Hendrikx
Victor Reijgwart
F. Meier
Inkyu Sa
Renaud Dubé
Abel Gawel
Mathias Bürki
Roland Siegwart
8
42
0
09 Apr 2018
Learning to Adapt in Dynamic, Real-World Environments Through
  Meta-Reinforcement Learning
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning
Anusha Nagabandi
I. Clavera
Simin Liu
R. Fearing
Pieter Abbeel
Sergey Levine
Chelsea Finn
10
537
0
30 Mar 2018
A Non-Cooperative Game Approach to Autonomous Racing
A Non-Cooperative Game Approach to Autonomous Racing
Alexander Liniger
John Lygeros
26
120
0
11 Dec 2017
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature
  Race Cars
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars
Lukas Hewing
Alexander Liniger
M. Zeilinger
24
108
0
17 Nov 2017
Optimization-Based Collision Avoidance
Optimization-Based Collision Avoidance
Xiaojing Zhang
Alexander Liniger
Francesco Borrelli
15
326
0
09 Nov 2017
Real-Time Control for Autonomous Racing Based on Viability Theory
Real-Time Control for Autonomous Racing Based on Viability Theory
Alexander Liniger
John Lygeros
9
59
0
30 Jan 2017
Learning Model Predictive Control for iterative tasks. A Data-Driven
  Control Framework
Learning Model Predictive Control for iterative tasks. A Data-Driven Control Framework
Ugo Rosolia
Francesco Borrelli
23
321
0
06 Sep 2016
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