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Information Theoretic Model Predictive Control: Theory and Applications
  to Autonomous Driving

Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving

7 July 2017
Grady Williams
P. Drews
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
ArXivPDFHTML

Papers citing "Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving"

50 / 51 papers shown
Title
Strategic Jenga Play via Graph Based Dynamics Modeling
Strategic Jenga Play via Graph Based Dynamics Modeling
Kavya Puthuveetil
Xinyi Zhang
Kazuto Yokoyama
Tetsuya Narita
33
0
0
14 May 2025
Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing
Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing
Iman Askari
Yebin Wang
Vedeng M. Deshpande
H. Fang
21
1
0
10 May 2025
Real-Time Model Predictive Control of Vehicles with Convex-Polygon-Aware Collision Avoidance in Tight Spaces
Real-Time Model Predictive Control of Vehicles with Convex-Polygon-Aware Collision Avoidance in Tight Spaces
Haruki Kojima
Kohei Honda
H. Okuda
Tatsuya Suzuki
44
0
0
08 May 2025
LVLM-MPC Collaboration for Autonomous Driving: A Safety-Aware and Task-Scalable Control Architecture
LVLM-MPC Collaboration for Autonomous Driving: A Safety-Aware and Task-Scalable Control Architecture
Kazuki Atsuta
Kohei Honda
H. Okuda
Tatsuya Suzuki
177
0
0
08 May 2025
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning
Lars Ullrich
Zurab Mujirishvili
Knut Graichen
63
0
0
25 Apr 2025
An Unsupervised C-Uniform Trajectory Sampler with Applications to Model Predictive Path Integral Control
O. G. Poyrazoglu
Rahul Moorthy
Yukang Cao
William Chastek
Volkan Isler
52
0
0
13 Mar 2025
GSplatVNM: Point-of-View Synthesis for Visual Navigation Models Using Gaussian Splatting
Kohei Honda
Takeshi Ishita
Yasuhiro Yoshimura
Ryo Yonetani
3DGS
52
0
0
07 Mar 2025
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
Jean-Baptiste Bouvier
Kanghyun Ryu
Kartik Nagpal
Qiayuan Liao
K. Sreenath
Negar Mehr
88
2
0
20 Feb 2025
Learning Dynamic Cognitive Map with Autonomous Navigation
Learning Dynamic Cognitive Map with Autonomous Navigation
Daria de Tinguy
Tim Verbelen
Bart Dhoedt
35
0
0
13 Nov 2024
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
LiRA: Light-Robust Adversary for Model-based Reinforcement Learning in Real World
Taisuke Kobayashi
71
2
0
29 Sep 2024
DROP: Dexterous Reorientation via Online Planning
DROP: Dexterous Reorientation via Online Planning
Albert H. Li
Preston Culbertson
Vince Kurtz
Aaron D. Ames
54
7
0
22 Sep 2024
C-Uniform Trajectory Sampling For Fast Motion Planning
C-Uniform Trajectory Sampling For Fast Motion Planning
O. G. Poyrazoglu
Yukang Cao
Volkan Isler
35
1
0
18 Sep 2024
Cooptimizing Safety and Performance with a Control-Constrained
  Formulation
Cooptimizing Safety and Performance with a Control-Constrained Formulation
Hao Wang
Adityaya Dhande
Somil Bansal
28
1
0
10 Sep 2024
Learning Autonomous Race Driving with Action Mapping Reinforcement
  Learning
Learning Autonomous Race Driving with Action Mapping Reinforcement Learning
Yuanda Wang
Xin Yuan
Changyin Sun
42
1
0
21 Jun 2024
Continuously Optimizing Radar Placement with Model Predictive Path Integrals
Continuously Optimizing Radar Placement with Model Predictive Path Integrals
Michael Potter
Shuo Tang
Paul Ghanem
Milica Stojanovic
Pau Closas
...
Ben Wright
Marius Necsoiu
Deniz Erdoğmuş
Michael Everett
Talees Imbiriba
28
1
0
29 May 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer
  Crashes
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes
Kyle Stachowicz
Sergey Levine
17
6
0
07 May 2024
Comparing Motion Distortion Between Vehicle Field Deployments
Comparing Motion Distortion Between Vehicle Field Deployments
Nicolas Samson
Dominic Baril
Julien Lépine
Franccois Pomerleau
29
0
0
30 Apr 2024
On the Benefits of GPU Sample-Based Stochastic Predictive Controllers for Legged Locomotion
On the Benefits of GPU Sample-Based Stochastic Predictive Controllers for Legged Locomotion
Giulio Turrisi
Valerio Modugno
Lorenzo Amatucci
Dimitrios Kanoulas
Claudio Semini
48
1
0
18 Mar 2024
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning
Ruihua Han
Shuai Wang
Shuaijun Wang
Zeqing Zhang
Jianjun Chen
...
Chengyang Li
Chengzhong Xu
Yonina C. Eldar
Qi Hao
Jia Pan
3DPC
40
2
0
11 Mar 2024
RoadRunner - Learning Traversability Estimation for Autonomous Off-road
  Driving
RoadRunner - Learning Traversability Estimation for Autonomous Off-road Driving
Jonas Frey
Shehryar Khattak
Manthan Patel
Deegan Atha
Julian Nubert
Curtis Padgett
Marco Hutter
Patrick Spieler
46
24
0
29 Feb 2024
HIO-SDF: Hierarchical Incremental Online Signed Distance Fields
HIO-SDF: Hierarchical Incremental Online Signed Distance Fields
V. Vasilopoulos
Suveer Garg
Jinwook Huh
Bhoram Lee
Volkan Isler
27
4
0
14 Oct 2023
Pay Attention to How You Drive: Safe and Adaptive Model-Based
  Reinforcement Learning for Off-Road Driving
Pay Attention to How You Drive: Safe and Adaptive Model-Based Reinforcement Learning for Off-Road Driving
Sean J. Wang
Honghao Zhu
Aaron M. Johnson
26
6
0
12 Oct 2023
Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning
Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning
Iman Askari
Xumein Tu
Shen Zeng
Shen Zeng
Huazhen Fang
24
5
0
12 Oct 2023
Recent Advances in Path Integral Control for Trajectory Optimization: An
  Overview in Theoretical and Algorithmic Perspectives
Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives
Muhammad Kazim
JunGee Hong
Min-Gyeom Kim
Kwang-Ki K. Kim
37
16
0
22 Sep 2023
Actor-Critic Model Predictive Control
Actor-Critic Model Predictive Control
Angel Romero
Yunlong Song
Davide Scaramuzza
47
35
0
16 Jun 2023
Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally
  Driving With Model Predictive Path Integral Control
Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving With Model Predictive Path Integral Control
Ho-Woon Lee
Taekyung Kim
Jungwi Mun
Wonsuk Lee
33
16
0
01 May 2023
Multi-Agent Path Integral Control for Interaction-Aware Motion Planning
  in Urban Canals
Multi-Agent Path Integral Control for Interaction-Aware Motion Planning in Urban Canals
Lucas Streichenberg
Elia Trevisan
Jen Jen Chung
Roland Siegwart
Javier Alonso-Mora
29
11
0
13 Feb 2023
RRT Guided Model Predictive Path Integral Method
RRT Guided Model Predictive Path Integral Method
Chuyuan Tao
Hunmin Kim
N. Hovakimyan
29
10
0
30 Jan 2023
Weighted Maximum Likelihood for Controller Tuning
Weighted Maximum Likelihood for Controller Tuning
Angel Romero
Shreedhar Govil
Gonca Yilmaz
Yunlong Song
Davide Scaramuzza
41
14
0
20 Oct 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with
  Gaussian Processes
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
Joe Watson
Jan Peters
26
15
0
07 Oct 2022
ScaTE: A Scalable Framework for Self-Supervised Traversability
  Estimation in Unstructured Environments
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments
Junwon Seo
Taekyung Kim
K. Kwak
Jihong Min
Inwook Shim
39
34
0
14 Sep 2022
Sparse Representation Learning with Modified q-VAE towards Minimal
  Realization of World Model
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model
Taisuke Kobayashi
Ryoma Watanuki
DRL
29
6
0
08 Aug 2022
MPPI-IPDDP: Hybrid Method of Collision-Free Smooth Trajectory Generation
  for Autonomous Robots
MPPI-IPDDP: Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots
Mingeuk Kim
Kwang-Ki K. Kim
32
3
0
04 Aug 2022
Variational Inference MPC using Normalizing Flows and
  Out-of-Distribution Projection
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection
Thomas Power
Dmitry Berenson
32
29
0
10 May 2022
Gradient-Based Trajectory Optimization With Learned Dynamics
Gradient-Based Trajectory Optimization With Learned Dynamics
Bhavya Sukhija
Nathanael Kohler
Miguel Zamora
Simon Zimmermann
Sebastian Curi
Andreas Krause
Stelian Coros
30
9
0
09 Apr 2022
Bayesian Learning Approach to Model Predictive Control
Bayesian Learning Approach to Model Predictive Control
Namhoon Cho
Seokwon Lee
Hyo-Sang Shin
Antonios Tsourdos
18
1
0
05 Mar 2022
Bayesian Optimisation for Robust Model Predictive Control under Model
  Parameter Uncertainty
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty
Rel Guzman
Rafael Oliveira
Fabio Ramos
17
3
0
01 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
213
0
14 Feb 2022
TOAST: Trajectory Optimization and Simultaneous Tracking using Shared
  Neural Network Dynamics
TOAST: Trajectory Optimization and Simultaneous Tracking using Shared Neural Network Dynamics
Taekyung Kim
Hojin Lee
S. Hong
Wonsuk Lee
19
10
0
20 Jan 2022
Smooth Model Predictive Path Integral Control without Smoothing
Smooth Model Predictive Path Integral Control without Smoothing
Taekyung Kim
Gyuhyun Park
K. Kwak
Jihwan Bae
Wonsuk Lee
27
38
0
18 Dec 2021
Towards Autonomous Driving of Personal Mobility with Small and Noisy
  Dataset using Tsallis-statistics-based Behavioral Cloning
Towards Autonomous Driving of Personal Mobility with Small and Noisy Dataset using Tsallis-statistics-based Behavioral Cloning
Taisuke Kobayashi
Takahito Enomoto
16
3
0
29 Nov 2021
Entropy Regularised Deterministic Optimal Control: From Path Integral
  Solution to Sample-Based Trajectory Optimisation
Entropy Regularised Deterministic Optimal Control: From Path Integral Solution to Sample-Based Trajectory Optimisation
Tom Lefebvre
Guillaume Crevecoeur
19
6
0
06 Oct 2021
Model Predictive Control for Trajectory Tracking on Differentiable
  Manifolds
Model Predictive Control for Trajectory Tracking on Differentiable Manifolds
G. Lu
Wei Xu
Fu Zhang
40
6
0
29 Jun 2021
Distributionally robust risk map for learning-based motion planning and
  control: A semidefinite programming approach
Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming approach
A. Hakobyan
Insoon Yang
104
25
0
03 May 2021
Dual Online Stein Variational Inference for Control and Dynamics
Dual Online Stein Variational Inference for Control and Dynamics
Lucas Barcelos
Alexander Lambert
Rafael Oliveira
Paulo Borges
Byron Boots
F. Ramos
30
27
0
23 Mar 2021
Risk-Sensitive Sequential Action Control with Multi-Modal Human
  Trajectory Forecasting for Safe Crowd-Robot Interaction
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction
Haruki Nishimura
Boris Ivanovic
Adrien Gaidon
Marco Pavone
Mac Schwager
31
36
0
12 Sep 2020
SACBP: Belief Space Planning for Continuous-Time Dynamical Systems via
  Stochastic Sequential Action Control
SACBP: Belief Space Planning for Continuous-Time Dynamical Systems via Stochastic Sequential Action Control
Haruki Nishimura
Mac Schwager
11
12
0
26 Feb 2020
Deep Learning Tubes for Tube MPC
Deep Learning Tubes for Tube MPC
David D. Fan
Ali-akbar Agha-mohammadi
Evangelos A. Theodorou
22
57
0
05 Feb 2020
Bayesian Learning-Based Adaptive Control for Safety Critical Systems
Bayesian Learning-Based Adaptive Control for Safety Critical Systems
David D. Fan
Jennifer Nguyen
Rohan Thakker
Nikhilesh Alatur
Ali-akbar Agha-mohammadi
Evangelos A. Theodorou
BDL
28
84
0
05 Oct 2019
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of
  Vehicle Dynamics
Locally Weighted Regression Pseudo-Rehearsal for Online Learning of Vehicle Dynamics
Grady Williams
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
13
12
0
13 May 2019
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