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2010.16001
Cited By
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
30 October 2020
Sarah Dean
Andrew J. Taylor
Ryan K. Cosner
Benjamin Recht
Aaron D. Ames
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Papers citing
"Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions"
43 / 43 papers shown
Title
Multi-Robot Coordination with Adversarial Perception
Rayan Bahrami
H. Jafarnejadsani
AAML
224
0
0
12 Apr 2025
Risk-Aware Robot Control in Dynamic Environments Using Belief Control Barrier Functions
Shaohang Han
Matti Vahs
Jana Tumova
129
0
0
05 Apr 2025
Anytime Probabilistically Constrained Provably Convergent Online Belief Space Planning
A. Zhitnikov
Vadim Indelman
75
0
0
11 Nov 2024
Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving
Yuxuan Yang
Hussein Sibai
104
2
0
29 Oct 2024
Formal Verification and Control with Conformal Prediction
Lars Lindemann
Yiqi Zhao
Xinyi Yu
George J. Pappas
Jyotirmoy Deshmukh
729
17
0
31 Aug 2024
Closing the Perception-Action Loop for Semantically Safe Navigation in Semi-Static Environments
Jingxing Qian
Siqi Zhou
Nicholas Jianrui Ren
Veronica Chatrath
Angela P. Schoellig
77
1
0
22 Apr 2024
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
Control-Barrier-Aided Teleoperation with Visual-Inertial SLAM for Safe MAV Navigation in Complex Environments
Siqi Zhou
Sotiris Papatheodorou
Stefan Leutenegger
Angela P. Schoellig
73
2
0
07 Mar 2024
Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models
Yu Zhang
Long Wen
Xiangtong Yao
Zhenshan Bing
Linghuan Kong
Wei He
Alois Knoll
79
1
0
29 Feb 2024
Online and Certifiably Correct Visual Odometry and Mapping
Devansh R. Agrawal
Rajiv G. Govindjee
Jiangbo Yu
Anurekha Ravikumar
Dimitra Panagou
61
2
0
07 Feb 2024
Robust Control Barrier Functions using Uncertainty Estimation with Application to Mobile Robots
Ersin Daş
J. W. Burdick
142
8
0
03 Jan 2024
System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models
Xiao Li
Yutong Li
Anouck Girard
Ilya Kolmanovsky
93
5
0
11 Dec 2023
Refining Perception Contracts: Case Studies in Vision-based Safe Auto-landing
Yangge Li
Benjamin C Yang
Yixuan Jia
Daniel Zhuang
Sayan Mitra
108
4
0
15 Nov 2023
Learning-based Inverse Perception Contracts and Applications
Dawei Sun
B. C. Yang
Sayan Mitra
91
4
0
24 Sep 2023
Risk-aware Control for Robots with Non-Gaussian Belief Spaces
Matti Vahs
Jana Tumova
97
7
0
22 Sep 2023
Belief Control Barrier Functions for Risk-aware Control
Matti Vahs
Christian Pek
Jana Tumova
38
13
0
12 Sep 2023
The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems
Kai-Chieh Hsu
Haimin Hu
J. F. Fisac
74
79
0
11 Sep 2023
How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy
Zhenjiang Mao
Carson Sobolewski
I. Ruchkin
129
9
0
23 Aug 2023
Synthesizing Stable Reduced-Order Visuomotor Policies for Nonlinear Systems via Sums-of-Squares Optimization
Glen Chou
Russ Tedrake
74
2
0
24 Apr 2023
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction
Shuo Yang
George J. Pappas
Rahul Mangharam
Lars Lindemann
198
23
0
01 Apr 2023
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation
Sanbao Su
Songyang Han
Yiming Li
Zhili Zhang
Chen Feng
Caiwen Ding
Fei Miao
VOT
110
26
0
25 Mar 2023
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States
F. Castañeda
Haruki Nishimura
R. McAllister
Koushil Sreenath
Adrien Gaidon
OffRL
115
16
0
27 Jan 2023
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks
Junlin Wu
Hussein Sibai
Yevgeniy Vorobeychik
AAML
56
0
0
28 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software
Hongrui Zheng
Zirui Zang
Shuo Yang
Rahul Mangharam
88
0
0
01 Dec 2022
Safe and Robust Observer-Controller Synthesis using Control Barrier Functions
Devansh R. Agrawal
Dimitra Panagou
63
53
0
25 Nov 2022
Enforcing safety for vision-based controllers via Control Barrier Functions and Neural Radiance Fields
Mukun Tong
Charles Dawson
Chuchu Fan
99
29
0
25 Sep 2022
Learning Certifiably Robust Controllers Using Fragile Perception
Dawei Sun
N. Musavi
Geir Dullerud
Sanjay Shakkottai
Sayan Mitra
62
1
0
22 Sep 2022
Vision-Based Uncertainty-Aware Motion Planning based on Probabilistic Semantic Segmentation
Ralf Römer
Armin Lederer
Samuel Tesfazgi
Sandra Hirche
45
2
0
14 Sep 2022
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
F. Castañeda
Jason J. Choi
Wonsuhk Jung
Bike Zhang
Claire Tomlin
Koushil Sreenath
81
6
0
23 Aug 2022
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control
Katie Kang
Paula Gradu
Jason J. Choi
Michael Janner
Claire Tomlin
Sergey Levine
74
24
0
21 Jun 2022
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
Control Barrier Functions and Input-to-State Safety with Application to Automated Vehicles
Anil Alan
Andrew J. Taylor
C. He
Aaron D. Ames
G. Orosz
65
69
0
07 Jun 2022
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
85
14
0
02 Mar 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods
Charles Dawson
Sicun Gao
Chuchu Fan
78
243
0
23 Feb 2022
SABLAS: Learning Safe Control for Black-box Dynamical Systems
Zengyi Qin
Dawei Sun
Chuchu Fan
87
43
0
06 Jan 2022
Learning Safe, Generalizable Perception-based Hybrid Control with Certificates
Charles Dawson
Bethany Lowenkamp
D. Goff
Chuchu Fan
99
54
0
04 Jan 2022
Safety-Aware Preference-Based Learning for Safety-Critical Control
Ryan K. Cosner
Maegan Tucker
Andrew J. Taylor
Kejun Li
Tamás G. Molnár
Wyatt Ubellacker
Anil Alan
G. Orosz
Yisong Yue
Aaron D. Ames
63
24
0
15 Dec 2021
Safety-Critical Control with Input Delay in Dynamic Environment
Tamás G. Molnár
A. Kiss
Aaron D. Ames
G. Orosz
59
45
0
15 Dec 2021
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
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
Charles Dawson
Zengyi Qin
Sicun Gao
Chuchu Fan
159
176
0
14 Sep 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Lukas Brunke
Melissa Greeff
Adam W. Hall
Zhaocong Yuan
Siqi Zhou
Jacopo Panerati
Angela P. Schoellig
OffRL
68
637
0
13 Aug 2021
Comparison between safety methods control barrier function vs. reachability analysis
Zhichao Li
65
29
0
24 Jun 2021
Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety
Noel Csomay-Shanklin
Ryan K. Cosner
Min Dai
Andrew J. Taylor
Aaron D. Ames
74
24
0
04 May 2021
1