Learning Control Barrier Functions from Expert Demonstrations

7 April 2020

Stephen Tu

Papers citing "Learning Control Barrier Functions from Expert Demonstrations"

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Title
Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions Matthew Kim William Sharpless Hyun Joe Jeong S. Tonkens Somil Bansal Sylvia Herbert 24 0 0 16 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 56 0 0 01 May 2025
Learning Neural Control Barrier Functions from Offline Data with Conservatism Ihab Tabbara Hussein Sibai OffRL 65 0 0 01 May 2025
Neural Control Barrier Functions from Physics Informed Neural Networks Shreenabh Agrawal Manan Tayal Aditya Singh Shishir Kolathaya AI4CE 27 0 0 15 Apr 2025
Safe Human Robot Navigation in Warehouse Scenario Seth Farrell Chenghao Li Hongzhan Yu Ryo Yoshimitsu Sicun Gao Henrik I. Christensen 58 0 0 27 Mar 2025
CoIn-SafeLink: Safety-critical Control With Cost-sensitive Incremental Random Vector Functional Link Network Songqiao Hu Zeyi Liu Xiao He Zhen Shen 37 0 0 19 Mar 2025
CP-NCBF: A Conformal Prediction-based Approach to Synthesize Verified Neural Control Barrier Functions Manan Tayal Aditya Singh Pushpak Jagtap Shishir Kolathaya 55 1 0 18 Mar 2025
Safety Guardrails for LLM-Enabled Robots Zachary Ravichandran Alexander Robey Vijay Kumar George Pappas Hamed Hassani 66 2 0 10 Mar 2025
T-CBF: Traversability-based Control Barrier Function to Navigate Vertically Challenging Terrain Manas Gupta Xuesu Xiao 64 0 0 08 Mar 2025
Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks Hanjiang Hu Alexander Robey Changliu Liu AAML LLMSV 52 1 0 28 Feb 2025
Estimating Control Barriers from Offline Data Hongzhan Yu Seth Farrell Ryo Yoshimitsu Zhizhen Qin Henrik I. Christensen Sicun Gao OffRL 58 3 0 21 Feb 2025
Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem Hesameddin Mohammadi Mohammad Tinati Stephen Tu Mahdi Soltanolkotabi M. Jovanović 80 0 0 24 Nov 2024
Control Strategies for Pursuit-Evasion Under Occlusion Using Visibility and Safety Barrier Functions Minnan Zhou Mustafa Shaikh Vatsalya Chaubey Patrick Haggerty Shumon Koga Dimitra Panagou Nikolay Atanasov 38 1 0 02 Nov 2024
Safety-critical Control with Control Barrier Functions: A Hierarchical Optimization Framework Junjun Xie Liang Hu Jiahu Qin Jun Yang Huijun Gao 34 0 0 21 Oct 2024
Domain Adaptive Safety Filters via Deep Operator Learning Lakshmideepakreddy Manda Shaoru Chen Mahyar Fazlyab 36 1 0 18 Oct 2024
RPCBF: Constructing Safety Filters Robust to Model Error and Disturbances via Policy Control Barrier Functions Luzia Knoedler Oswin So Ji Yin Mitchell Black Zachary Serlin Panagiotis Tsiotras Javier Alonso-Mora Chuchu Fan 33 1 0 15 Oct 2024
Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation Taekyung Kim Robin Inho Kee Dimitra Panagou 58 7 0 22 Sep 2024
Formal Verification and Control with Conformal Prediction Lars Lindemann Yiqi Zhao Xinyi Yu George J. Pappas Jyotirmoy Deshmukh 78 15 0 31 Aug 2024
ABNet: Attention BarrierNet for Safe and Scalable Robot Learning Wei Xiao Tsun-Hsuan Wang Daniela Rus OffRL 54 1 0 18 Jun 2024
Compositional Curvature Bounds for Deep Neural Networks Taha Entesari Sina Sharifi Mahyar Fazlyab AAML 47 0 0 07 Jun 2024
Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey Maeva Guerrier Hassan Fouad Giovanni Beltrame OffRL 45 1 0 22 Apr 2024
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications Puze Liu Haitham Bou-Ammar Jan Peters Davide Tateo 51 9 0 13 Apr 2024
Learning a Formally Verified Control Barrier Function in Stochastic Environment Manan Tayal Hongchao Zhang Pushpak Jagtap Andrew Clark Shishir Kolathaya 41 13 0 28 Mar 2024
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification Prithvi Akella Anushri Dixit M. Ahmadi Lars Lindemann Margaret P. Chapman George J. Pappas Aaron D. Ames J. W. Burdick 45 5 0 27 Mar 2024
Safety-Critical Control for Autonomous Systems: Control Barrier Functions via Reduced-Order Models Max H. Cohen Tamás G. Molnár Aaron D. Ames 63 31 0 14 Mar 2024
Verification-Aided Learning of Neural Network Barrier Functions with Termination Guarantees Shaoru Chen Lekan Molu Mahyar Fazlyab 53 5 0 12 Mar 2024
Fault Tolerant Neural Control Barrier Functions for Robotic Systems under Sensor Faults and Attacks Hongchao Zhang Luyao Niu Andrew Clark Radha Poovendran AAML 40 2 0 28 Feb 2024
Learning Input Constrained Control Barrier Functions for Guaranteed Safety of Car-Like Robots Sven Brüggemann Dominic Nightingale Jack Silberman Maurício de Oliveira 49 0 0 19 Feb 2024
Reinforcement Learning with Ensemble Model Predictive Safety Certification Sven Gronauer Tom Haider Felippe Schmoeller da Roza Klaus Diepold 28 3 0 06 Feb 2024
Learning Local Control Barrier Functions for Safety Control of Hybrid Systems Shuo Yang Yu Chen Xiang Yin Rahul Mangharam 48 0 0 26 Jan 2024
Learning safety critics via a non-contractive binary bellman operator Agustin Castellano Hancheng Min J. Bazerque Enrique Mallada 65 0 0 23 Jan 2024
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model Yinan Zheng Jianxiong Li Dongjie Yu Yujie Yang Shengbo Eben Li Xianyuan Zhan Jingjing Liu OffRL 41 24 0 19 Jan 2024
Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation Shaoru Chen Mahyar Fazlyab 50 7 0 11 Jan 2024
On Safety and Liveness Filtering Using Hamilton-Jacobi Reachability Analysis Javier Borquez Kaustav Chakraborty Hao Wang Somil Bansal 29 8 0 23 Dec 2023
A Data-driven Method for Safety-critical Control: Designing Control Barrier Functions from State Constraints Jaemin Lee Jeeseop Kim Aaron D. Ames 33 5 0 12 Dec 2023
Data-Driven Modeling and Verification of Perception-Based Autonomous Systems Thomas Waite Alexander Robey Hassani Hamed George J. Pappas Radoslav Ivanov 29 2 0 11 Dec 2023
Safe Control Synthesis for Hybrid Systems through Local Control Barrier Functions Shuo Yang Mitchell Black Georgios Fainekos Bardh Hoxha Hideki Okamoto Rahul Mangharam 29 2 0 28 Nov 2023
How to Train Your Neural Control Barrier Function: Learning Safety Filters for Complex Input-Constrained Systems Oswin So Zachary Serlin Makai Mann Jake Gonzales Kwesi J. Rutledge Nicholas Roy Chuchu Fan 45 30 0 24 Oct 2023
Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon Federico Pizarro Bejarano Lukas Brunke Angela P. Schoellig 29 8 0 20 Sep 2023
Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set Gianni Lunardi Asia La Rocca Matteo Saveriano Andrea Del Prete 37 0 0 20 Sep 2023
The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems Kai-Chieh Hsu Haimin Hu J. F. Fisac 48 75 0 11 Sep 2023
Deadlock-free, Safe, and Decentralized Multi-Robot Navigation in Social Mini-Games via Discrete-Time Control Barrier Functions Rohan Chandra Vrushabh Zinage E. Bakolas Peter Stone Joydeep Biswas 54 4 0 21 Aug 2023
Learning Complex Motion Plans using Neural ODEs with Safety and Stability Guarantees Farhad Nawaz Tianyu Li Nikolai Matni Nadia Figueroa 28 2 0 31 Jul 2023
Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance Hong-Den Yu Chiaki Hirayama Chenning Yu Sylvia Herbert Sicun Gao 24 15 0 06 Jul 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron Melanie Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 42 30 0 24 Jun 2023
Safe Navigation and Obstacle Avoidance Using Differentiable Optimization Based Control Barrier Functions Bolun Dai Rooholla Khorrambakht Prashanth Krishnamurthy V. Gonccalves Anthony Tzes Farshad Khorrami 40 31 0 17 Apr 2023
Constraint Inference in Control Tasks from Expert Demonstrations via Inverse Optimization D. Papadimitriou Jingqi Li 26 3 0 06 Apr 2023
Rate-Tunable Control Barrier Functions: Methods and Algorithms for Online Adaptation Hardik Parwana Dimitra Panagou 35 4 0 23 Mar 2023
Learning Feasibility Constraints for Control Barrier Functions Wei Xiao Christos G. Cassandras C. Belta 43 6 0 10 Mar 2023
Online Control Barrier Functions for Decentralized Multi-Agent Navigation Zhan Gao Guangtao Yang Amanda Prorok 49 15 0 08 Mar 2023