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Learning Hybrid Control Barrier Functions from Data

Learning Hybrid Control Barrier Functions from Data

Lars Lindemann
Haimin Hu
Alexander Robey
Hanwen Zhang
Dimos V. Dimarogonas
Stephen Tu
Nikolai Matni
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Papers citing "Learning Hybrid Control Barrier Functions from Data"

12 / 12 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
90
16
0
31 Aug 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
Songyuan Zhang
Oswin So
Kunal Garg
Chuchu Fan
AI4CE
80
23
0
25 Jan 2024
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
James Ferlez
Mahmoud M. Elnaggar
Yasser Shoukry
C. Fleming
AAML
64
33
0
16 Jun 2020
Neural Certificates for Safe Control Policies
Neural Certificates for Safe Control Policies
Wanxin Jin
Zhaoran Wang
Zhuoran Yang
Shaoshuai Mou
18
82
0
15 Jun 2020
Learning Control Barrier Functions from Expert Demonstrations
Learning Control Barrier Functions from Expert Demonstrations
Alexander Robey
Haimin Hu
Lars Lindemann
Hanwen Zhang
Dimos V. Dimarogonas
Stephen Tu
Nikolai Matni
41
204
0
07 Apr 2020
Learning Barrier Functions for Constrained Motion Planning with Dynamical Systems
Learning Barrier Functions for Constrained Motion Planning with Dynamical Systems
Matteo Saveriano
Dongheui Lee
9
65
0
25 Mar 2020
Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach
Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach
Mohit Srinivasan
A. Dabholkar
Samuel Coogan
Patricio Vela
17
127
0
10 Mar 2020
Training Neural Network Controllers Using Control Barrier Functions in the Presence of Disturbances
Training Neural Network Controllers Using Control Barrier Functions in the Presence of Disturbances
Shakiba Yaghoubi
Georgios Fainekos
S. Sankaranarayanan
38
42
0
18 Jan 2020
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics
M. J. Khojasteh
Vikas Dhiman
M. Franceschetti
Nikolay Atanasov
74
73
0
20 Dec 2019
Preference-Based Learning for Exoskeleton Gait Optimization
Preference-Based Learning for Exoskeleton Gait Optimization
Maegan Tucker
Ellen R. Novoseller
Claudia K. Kann
Yanan Sui
Yisong Yue
J. W. Burdick
Aaron D. Ames
76
91
0
26 Sep 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Mahyar Fazlyab
Alexander Robey
Hamed Hassani
M. Morari
George J. Pappas
39
451
0
12 Jun 2019
Barrier-Certified Adaptive Reinforcement Learning with Applications to Brushbot Navigation
Barrier-Certified Adaptive Reinforcement Learning with Applications to Brushbot Navigation
Motoya Ohnishi
Li Wang
Gennaro Notomista
M. Egerstedt
26
69
0
29 Jan 2018

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