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Robust Guarantees for Perception-Based Control
v1v2 (latest)

Robust Guarantees for Perception-Based Control

8 July 2019
Sarah Dean
Nikolai Matni
Benjamin Recht
Vickie Ye
ArXiv (abs)PDFHTML

Papers citing "Robust Guarantees for Perception-Based Control"

22 / 22 papers shown
Title
Formal Verification and Control with Conformal Prediction
Formal Verification and Control with Conformal Prediction
Lars Lindemann
Yiqi Zhao
Xinyi Yu
George J. Pappas
Jyotirmoy Deshmukh
729
17
0
31 Aug 2024
Efficient Motion Planning for Manipulators with Control Barrier
  Function-Induced Neural Controller
Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller
Mingxin Yu
Chenning Yu
M.-Mahdi Naddaf-Sh
Devesh Upadhyay
Sicun Gao
Chuchu Fan
79
4
0
01 Apr 2024
CLOSURE: Fast Quantification of Pose Uncertainty Sets
CLOSURE: Fast Quantification of Pose Uncertainty Sets
Yihuai Gao
Yukai Tang
Han Qi
Heng Yang
90
6
0
15 Mar 2024
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
Anushri Dixit
Zhiting Mei
Meghan Booker
Mariko Storey-Matsutani
Mariko Storey-Matsutani
Allen Z. Ren
Ola Shorinwa
Anirudha Majumdar
225
7
0
13 Mar 2024
Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with
  Obstacle Avoidance via Learning of Perception Maps
Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with Obstacle Avoidance via Learning of Perception Maps
Alejandro Murillo-González
J. Poveda
30
1
0
04 Sep 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
90
22
0
14 Jun 2022
Learning Safe, Generalizable Perception-based Hybrid Control with
  Certificates
Learning Safe, Generalizable Perception-based Hybrid Control with Certificates
Charles Dawson
Bethany Lowenkamp
D. Goff
Chuchu Fan
99
54
0
04 Jan 2022
Learning Robust Output Control Barrier Functions from Safe Expert
  Demonstrations
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations
Lars Lindemann
Alexander Robey
Lejun Jiang
Satyajeet Das
Stephen Tu
Nikolai Matni
129
43
0
18 Nov 2021
Verifying Controllers with Convolutional Neural Network-based
  Perception: A Case for Intelligible, Safe, and Precise Abstractions
Verifying Controllers with Convolutional Neural Network-based Perception: A Case for Intelligible, Safe, and Precise Abstractions
Chiao Hsieh
Keyur Joshi
Sasa Misailovic
Sayan Mitra
89
35
0
10 Nov 2021
How to Certify Machine Learning Based Safety-critical Systems? A
  Systematic Literature Review
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
113
70
0
26 Jul 2021
Recurrent Equilibrium Networks: Flexible Dynamic Models with Guaranteed
  Stability and Robustness
Recurrent Equilibrium Networks: Flexible Dynamic Models with Guaranteed Stability and Robustness
Max Revay
Ruigang Wang
I. Manchester
77
61
0
13 Apr 2021
Certifying Incremental Quadratic Constraints for Neural Networks via
  Convex Optimization
Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization
Navid Hashemi
Justin Ruths
Mahyar Fazlyab
95
22
0
10 Dec 2020
PAC Confidence Predictions for Deep Neural Network Classifiers
PAC Confidence Predictions for Deep Neural Network Classifiers
Sangdon Park
Shuo Li
Insup Lee
Osbert Bastani
UQCV
115
27
0
02 Nov 2020
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust
  Control Barrier Functions
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
Sarah Dean
Andrew J. Taylor
Ryan K. Cosner
Benjamin Recht
Aaron D. Ames
83
86
0
30 Oct 2020
Planning with Learned Dynamics: Probabilistic Guarantees on Safety and
  Reachability via Lipschitz Constants
Planning with Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants
Craig Knuth
Glen Chou
N. Ozay
Dmitry Berenson
95
34
0
18 Oct 2020
Learning the Linear Quadratic Regulator from Nonlinear Observations
Learning the Linear Quadratic Regulator from Nonlinear Observations
Zakaria Mhammedi
Dylan J. Foster
Max Simchowitz
Dipendra Kumar Misra
Wen Sun
A. Krishnamurthy
Alexander Rakhlin
John Langford
101
30
0
08 Oct 2020
Certainty Equivalent Perception-Based Control
Certainty Equivalent Perception-Based Control
Sarah Dean
Benjamin Recht
86
28
0
27 Aug 2020
Sampling-based Reachability Analysis: A Random Set Theory Approach with
  Adversarial Sampling
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling
T. Lew
Marco Pavone
AAML
106
53
0
24 Aug 2020
Extracting Latent State Representations with Linear Dynamics from Rich
  Observations
Extracting Latent State Representations with Linear Dynamics from Rich Observations
Abraham Frandsen
Rong Ge
28
2
0
29 Jun 2020
When is Particle Filtering Efficient for Planning in Partially Observed
  Linear Dynamical Systems?
When is Particle Filtering Efficient for Planning in Partially Observed Linear Dynamical Systems?
S. Du
Wei Hu
Zhiyuan Li
Ruoqi Shen
Zhao Song
Jiajun Wu
58
1
0
10 Jun 2020
On the Robustness of Data-Driven Controllers for Linear Systems
On the Robustness of Data-Driven Controllers for Linear Systems
A. Rajasekhar
Abed AlRahman Al Makdah
Vaibhav Katewa
Fabio Pasqualetti
42
6
0
21 Dec 2019
Policy Optimization for $\mathcal{H}_2$ Linear Control with
  $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global
  Convergence
Policy Optimization for H2\mathcal{H}_2H2​ Linear Control with H∞\mathcal{H}_\inftyH∞​ Robustness Guarantee: Implicit Regularization and Global Convergence
Kai Zhang
Bin Hu
Tamer Basar
95
121
0
21 Oct 2019
1