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1711.06586
Cited By
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars
17 November 2017
Lukas Hewing
Alexander Liniger
M. Zeilinger
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Papers citing
"Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars"
37 / 37 papers shown
Title
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Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing
Haoru Xue
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Multi-contact Stochastic Predictive Control for Legged Robots with Contact Locations Uncertainty
Ahmad Gazar
Majid Khadiv
Andrea Del Prete
Ludovic Righetti
18
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08 Sep 2023
Learning-based Near-optimal Motion Planning for Intelligent Vehicles with Uncertain Dynamics
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Xinglong Zhang
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29
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07 Aug 2023
Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes
Jing Ning
Madhur Behl
11
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06 Jun 2023
Gaussian Processes with State-Dependent Noise for Stochastic Control
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K. Berntorp
19
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25 May 2023
Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing
Shaoshu Su
Ce Hao
Catherine Weaver
Chen Tang
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Masayoshi Tomizuka
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0
12 May 2023
Learning Residual Model of Model Predictive Control via Random Forests for Autonomous Driving
Kang Zhao
Jianru Xue
Xiangning Meng
Gengxin Li
Meng Wu
14
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10 Apr 2023
Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces
Tomávs Nagy
Ahmad Amine
Truong X. Nghiem
Ugo Rosolia
Zirui Zang
Rahul Mangharam
23
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0
23 Mar 2023
Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine
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Qin Lin
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16
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14 Mar 2023
Safe Machine-Learning-supported Model Predictive Force and Motion Control in Robotics
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Johanna Bethge
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08 Mar 2023
Outracing Human Racers with Model-based Planning and Control for Time-trial Racing
Ce Hao
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Eric Bergkvist
Catherine Weaver
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Masayoshi Tomizuka
29
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17 Nov 2022
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge
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Florian Sauerbeck
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Rainer Trauth
Frederik Werner
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34
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31 May 2022
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
Autonomous Racing with Multiple Vehicles using a Parallelized Optimization with Safety Guarantee using Control Barrier Functions
Suiyi He
Jun Zeng
K. Sreenath
27
25
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13 Dec 2021
Two-timescale Mechanism-and-Data-Driven Control for Aggressive Driving of Autonomous Cars
Yiwen Lu
Bo Yang
Yilin Mo
14
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11 Sep 2021
Hybrid Gaussian Process Modeling Applied to Economic Stochastic Model Predictive Control of Batch Processes
E. Bradford
Lars Imsland
M. Reble
Ehecatl Antonio del Rio Chanona
16
11
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14 Aug 2021
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
Approximate Robust NMPC using Reinforcement Learning
H. Esfahani
Arash Bahari Kordabad
S. Gros
13
10
0
06 Apr 2021
Probabilistic Collision Constraint for Motion Planning in Dynamic Environments
Antony Thomas
Fulvio Mastrogiovanni
M. Baglietto
23
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04 Apr 2021
Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative Entropy Trust-Regions
Hany Abdulsamad
T. Dorau
Boris Belousov
Jia Jie Zhu
Jan Peters
14
3
0
29 Mar 2021
Safe Learning-based Gradient-free Model Predictive Control Based on Cross-entropy Method
Lei Zheng
Ruicong Yang
Zhixuan Wu
Jiesen Pan
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17
9
0
24 Feb 2021
VisuoSpatial Foresight for Physical Sequential Fabric Manipulation
Ryan Hoque
Daniel Seita
Ashwin Balakrishna
Aditya Ganapathi
A. Tanwani
Nawid Jamali
K. Yamane
Soshi Iba
Ken Goldberg
28
36
0
19 Feb 2021
Gaussian Process-Based Model Predictive Control for Overtaking
Wenjun Liu
Chang Liu
Guang Chen
Peng Hang
Alois C. Knoll
12
6
0
22 Jan 2021
Machine Learning in Event-Triggered Control: Recent Advances and Open Issues
Leila Sedghi
Zohaib Ijaz
Md. Noor-A.-Rahim
K. Witheephanich
Dirk Pesch
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30
15
0
27 Sep 2020
Prediction with Approximated Gaussian Process Dynamical Models
Thomas Beckers
Sandra Hirche
AI4CE
11
18
0
25 Jun 2020
BayesRace: Learning to race autonomously using prior experience
Achin Jain
Matthew O'Kelly
Pratik Chaudhari
M. Morari
21
27
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10 May 2020
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems
Yashwanth Kumar Nakka
Anqi Liu
Guanya Shi
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
30
49
0
09 May 2020
Control of Unknown Nonlinear Systems with Linear Time-Varying MPC
D. Papadimitriou
Ugo Rosolia
Francesco Borrelli
11
9
0
06 Apr 2020
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation
Ryan Hoque
Daniel Seita
Ashwin Balakrishna
Aditya Ganapathi
A. Tanwani
Nawid Jamali
K. Yamane
Soshi Iba
Ken Goldberg
61
99
0
19 Mar 2020
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions
Brijen Thananjeyan
Ashwin Balakrishna
Ugo Rosolia
Joseph E. Gonzalez
Aaron D. Ames
Ken Goldberg
37
13
0
03 Mar 2020
Online learning-based Model Predictive Control with Gaussian Process Models and Stability Guarantees
Michael Maiworm
D. Limón
R. Findeisen
20
2
0
08 Nov 2019
Stochastic data-driven model predictive control using Gaussian processes
E. Bradford
Lars Imsland
Dongda Zhang
Ehecatl Antonio del Rio Chanona
14
93
0
05 Aug 2019
Adaptive Trajectory Planning and Optimization at Limits of Handling
Lars Svensson
Monimoy Bujarbaruah
Nitin R. Kapania
Martin Törngren
16
15
0
11 Mar 2019
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems
K. P. Wabersich
M. Zeilinger
AI4CE
20
154
0
13 Dec 2018
Learning-based Model Predictive Control for Safe Exploration
Torsten Koller
Felix Berkenkamp
M. Turchetta
Andreas Krause
16
373
0
22 Mar 2018
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