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2001.08088
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Training Neural Network Controllers Using Control Barrier Functions in the Presence of Disturbances
18 January 2020
Shakiba Yaghoubi
Georgios Fainekos
S. Sankaranarayanan
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Papers citing
"Training Neural Network Controllers Using Control Barrier Functions in the Presence of Disturbances"
19 / 19 papers shown
Model Predictive Path Integral Methods with Reach-Avoid Tasks and Control Barrier Functions
Hardik Parwana
Mitchell Black
Georgios Fainekos
Bardh Hoxha
Hideki Okamoto
Danil Prokhorov
220
4
0
18 Jul 2024
CBFKIT: A Control Barrier Function Toolbox for Robotics Applications
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Mitchell Black
Georgios Fainekos
Bardh Hoxha
Hideki Okamoto
Danil Prokhorov
194
4
0
10 Apr 2024
Learning Input Constrained Control Barrier Functions for Guaranteed Safety of Car-Like Robots
Sven Brüggemann
Dominic Nightingale
Jack Silberman
Maurício de Oliveira
328
0
0
19 Feb 2024
A Data-driven Method for Safety-critical Control: Designing Control Barrier Functions from State Constraints
American Control Conference (ACC), 2023
Jaemin Lee
Jeeseop Kim
Aaron D. Ames
318
8
0
12 Dec 2023
NMPC-LBF: Nonlinear MPC with Learned Barrier Function for Decentralized Safe Navigation of Multiple Robots in Unknown Environments
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Amir Salimi Lafmejani
Spring Berman
Georgios Fainekos
122
17
0
16 Aug 2022
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
Zhongyu Li
Jun Zeng
A. Thirugnanam
Koushil Sreenath
200
20
0
11 May 2022
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving
Wei Xiao
Tsun-Hsuan Wang
Makram Chahine
Alexander Amini
Ramin Hasani
Daniela Rus
230
29
0
04 Mar 2022
Risk-Bounded Control with Kalman Filtering and Stochastic Barrier Functions
IEEE Conference on Decision and Control (CDC), 2021
Shakiba Yaghoubi
Georgios Fainekos
Tomoya Yamaguchi
Danil Prokhorov
Bardh Hoxha
158
12
0
30 Dec 2021
BarrierNet: A Safety-Guaranteed Layer for Neural Networks
Wei Xiao
Ramin Hasani
Xiao Li
Daniela Rus
215
21
0
22 Nov 2021
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations
Lars Lindemann
Avi Schwarzschild
Lejun Jiang
Satyajeet Das
Stephen Tu
Nikolai Matni
276
59
0
18 Nov 2021
Local Repair of Neural Networks Using Optimization
K. Majd
Siyu Zhou
H. B. Amor
Georgios Fainekos
S. Sankaranarayanan
149
7
0
28 Sep 2021
Safe Navigation in Human Occupied Environments Using Sampling and Control Barrier Functions
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
K. Majd
Shakiba Yaghoubi
Tomoya Yamaguchi
Bardh Hoxha
Danil Prokhorov
Georgios Fainekos
428
31
0
03 May 2021
Neural Network-based Control for Multi-Agent Systems from Spatio-Temporal Specifications
IEEE Conference on Decision and Control (CDC), 2021
Suhail Alsalehi
N. Mehdipour
E. Bartocci
C. Belta
158
4
0
06 Apr 2021
Learning Robust Hybrid Control Barrier Functions for Uncertain Systems
IFAC Conference on Analysis and Design of Hybrid Systems (IFAC-ADHS), 2021
Avi Schwarzschild
Lars Lindemann
Stephen Tu
Nikolai Matni
189
45
0
16 Jan 2021
Control Barriers in Bayesian Learning of System Dynamics
IEEE Transactions on Automatic Control (TAC), 2020
Vikas Dhiman
M. J. Khojasteh
M. Franceschetti
Nikolay Atanasov
384
79
0
29 Dec 2020
Learning Hybrid Control Barrier Functions from Data
Lars Lindemann
Haimin Hu
Avi Schwarzschild
Hanwen Zhang
Dimos V. Dimarogonas
Stephen Tu
Nikolai Matni
230
61
0
08 Nov 2020
Recurrent Neural Network Controllers for Signal Temporal Logic Specifications Subject to Safety Constraints
IEEE Control Systems Letters (L-CSS), 2020
Wenliang Liu
N. Mehdipour
C. Belta
153
56
0
24 Sep 2020
Learning Safe Neural Network Controllers with Barrier Certificates
Formal Aspects of Computing (FAC), 2020
Hengjun Zhao
Xia Zeng
Taolue Chen
Zhiming Liu
Jim Woodcock
256
57
0
18 Sep 2020
Learning Control Barrier Functions from Expert Demonstrations
IEEE Conference on Decision and Control (CDC), 2020
Avi Schwarzschild
Haimin Hu
Lars Lindemann
Hanwen Zhang
Dimos V. Dimarogonas
Stephen Tu
Nikolai Matni
289
246
0
07 Apr 2020
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