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Robust Guarantees for Perception-Based Control

Robust Guarantees for Perception-Based Control

8 July 2019
Sarah Dean
Nikolai Matni
Benjamin Recht
Vickie Ye
ArXivPDFHTML

Papers citing "Robust Guarantees for Perception-Based Control"

22 / 22 papers shown
Title
Learning Linear Dynamics from Bilinear Observations
Learning Linear Dynamics from Bilinear Observations
Yahya Sattar
Yassir Jedra
Sarah Dean
32
1
0
24 Sep 2024
Formal Verification and Control with Conformal Prediction
Formal Verification and Control with Conformal Prediction
Lars Lindemann
Yiqi Zhao
Xinyi Yu
George J. Pappas
Jyotirmoy V. Deshmukh
75
14
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
45
4
0
01 Apr 2024
Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based
  Adaptive Cruise Control
Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control
Xiao Li
H. E. Tseng
Anouck Girard
Ilya Kolmanovsky
30
1
0
22 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
31
5
0
13 Mar 2024
Enforcing safety for vision-based controllers via Control Barrier
  Functions and Neural Radiance Fields
Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields
Mukun Tong
Charles Dawson
Chuchu Fan
51
29
0
25 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
19
22
0
14 Jun 2022
Self-Supervised Online Learning for Safety-Critical Control using Stereo
  Vision
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision
Ryan K. Cosner
I. D. Rodriguez
Tamás G. Molnár
Wyatt Ubellacker
Yisong Yue
Aaron D. Ames
Katherine Bouman
30
14
0
02 Mar 2022
Elliptical Slice Sampling for Probabilistic Verification of Stochastic
  Systems with Signal Temporal Logic Specifications
Elliptical Slice Sampling for Probabilistic Verification of Stochastic Systems with Signal Temporal Logic Specifications
Guy Scher
Sadra Sadraddini
Russ Tedrake
H. Kress-Gazit
18
6
0
28 Feb 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
41
53
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
45
42
0
18 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
37
66
0
26 Jul 2021
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
24
25
0
02 Nov 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
24
33
0
18 Oct 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
30
53
0
24 Aug 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
36
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
26
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
Kaipeng Zhang
Bin Hu
Tamer Basar
24
119
0
21 Oct 2019
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic
  Systems
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems
Andrew J. Taylor
Victor D. Dorobantu
Hoang Minh Le
Yisong Yue
Aaron D. Ames
117
78
0
04 Mar 2019
Information Theoretic Model Predictive Control: Theory and Applications
  to Autonomous Driving
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
Grady Williams
P. Drews
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
81
263
0
07 Jul 2017
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
246
809
0
13 Nov 2016
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D
  Cameras
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Raul Mur-Artal
Juan D. Tardós
204
5,375
0
20 Oct 2016
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