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Model Error Propagation via Learned Contraction Metrics for Safe
  Feedback Motion Planning of Unknown Systems

Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems

18 April 2021
Glen Chou
N. Ozay
Dmitry Berenson
ArXivPDFHTML

Papers citing "Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems"

12 / 12 papers shown
Title
Generative Planning with Fast Collision Checks for High Speed Navigation
Generative Planning with Fast Collision Checks for High Speed Navigation
Craig Knuth
Cora Dimmig
Brian A. Bittner
30
0
0
07 May 2024
Improving Out-of-Distribution Generalization of Learned Dynamics by
  Learning Pseudometrics and Constraint Manifolds
Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds
Yating Lin
Glen Chou
Dmitry Berenson
OODD
41
0
0
18 Mar 2024
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via
  Diffusion Score Matching
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
H. Suh
Glen Chou
Hongkai Dai
Lujie Yang
Abhishek Gupta
Russ Tedrake
DiffM
OffRL
37
7
0
24 Jun 2023
Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear
  Systems via Sums-of-Squares Optimization
Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization
Glen Chou
Russ Tedrake
22
2
0
24 Apr 2023
Statistical Safety and Robustness Guarantees for Feedback Motion
  Planning of Unknown Underactuated Stochastic Systems
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems
Craig Knuth
Glen Chou
Jamie Reese
Joseph L. Moore
35
5
0
13 Dec 2022
Probably Approximately Correct Nonlinear Model Predictive Control
  (PAC-NMPC)
Probably Approximately Correct Nonlinear Model Predictive Control (PAC-NMPC)
A. Polevoy
Marin Kobilarov
Joseph L. Moore
16
1
0
14 Oct 2022
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic
  Dynamical Models with Epistemic Uncertainty
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty
Thom S. Badings
Licio Romao
Alessandro Abate
N. Jansen
24
26
0
12 Oct 2022
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using
  Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking
Yanran Wang
James O’Keeffe
Qiuchen Qian
David E. Boyle
33
8
0
15 Jul 2022
Safe Output Feedback Motion Planning from Images via Learned Perception
  Modules and Contraction Theory
Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory
Glen Chou
N. Ozay
Dmitry Berenson
19
22
0
14 Jun 2022
Learning Model Preconditions for Planning with Multiple Models
Learning Model Preconditions for Planning with Multiple Models
A. LaGrassa
Oliver Kroemer
11
8
0
11 Jun 2022
Bridging Model-based Safety and Model-free Reinforcement Learning
  through System Identification of Low Dimensional Linear Models
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
Zhongyu Li
Jun Zeng
A. Thirugnanam
K. Sreenath
26
16
0
11 May 2022
Counterexample-Guided Repair for Symbolic-Geometric Action Abstractions
Counterexample-Guided Repair for Symbolic-Geometric Action Abstractions
Wil Thomason
H. Kress-Gazit
21
0
0
13 May 2021
1