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2004.03315
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Learning Control Barrier Functions from Expert Demonstrations
IEEE Conference on Decision and Control (CDC), 2020
7 April 2020
Avi Schwarzschild
Haimin Hu
Lars Lindemann
Hanwen Zhang
Dimos V. Dimarogonas
Stephen Tu
Nikolai Matni
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Papers citing
"Learning Control Barrier Functions from Expert Demonstrations"
50 / 111 papers shown
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196
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From Space to Time: Enabling Adaptive Safety with Learned Value Functions via Disturbance Recasting
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EigenSafe: A Spectral Framework for Learning-Based Probabilistic Safety Assessment
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Jonghae Park
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251
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22 Sep 2025
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CPED-NCBFs: A Conformal Prediction for Expert Demonstration-based Neural Control Barrier Functions
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Ravi Prakash
133
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20 Jul 2025
Deep Equivariant Multi-Agent Control Barrier Functions
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Lars Lindemann
George J. Pappas
233
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Hyun Joe Jeong
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16 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
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Learning Conservative Neural Control Barrier Functions from Offline Data
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Neural Control Barrier Functions from Physics Informed Neural Networks
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303
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19 Mar 2025
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Aditya Singh
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Safety Guardrails for LLM-Enabled Robots
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Avi Schwarzschild
Vijay Kumar
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Hamed Hassani
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T-CBF: Traversability-based Control Barrier Function to Navigate Vertically Challenging Terrain
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Xuesu Xiao
292
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Estimating Control Barriers from Offline Data
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Sicun Gao
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275
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Mahdi Soltanolkotabi
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Control Strategies for Pursuit-Evasion Under Occlusion Using Visibility and Safety Barrier Functions
IEEE International Conference on Robotics and Automation (ICRA), 2024
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Patrick Haggerty
Shumon Koga
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Safety-critical Control with Control Barrier Functions: A Hierarchical Optimization Framework
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Domain Adaptive Safety Filters via Deep Operator Learning
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Lakshmideepakreddy Manda
Shaoru Chen
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263
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Safety on the Fly: Constructing Robust Safety Filters via Policy Control Barrier Functions at Runtime
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Oswin So
Ji Yin
Mitchell Black
Zachary Serlin
Panagiotis Tsiotras
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Chuchu Fan
407
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Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation
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Taekyung Kim
Robin Inho Kee
Dimitra Panagou
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Formal Verification and Control with Conformal Prediction
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Yiqi Zhao
Xinyi Yu
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Compositional Curvature Bounds for Deep Neural Networks
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Taha Entesari
Sina Sharifi
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242
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Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey
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Learning a Formally Verified Control Barrier Function in Stochastic Environment
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Safety-Critical Control for Autonomous Systems: Control Barrier Functions via Reduced-Order Models
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Verification-Aided Learning of Neural Network Barrier Functions with Termination Guarantees
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256
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Fault Tolerant Neural Control Barrier Functions for Robotic Systems under Sensor Faults and Attacks
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372
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Learning safety critics via a non-contractive binary bellman operator
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J. Bazerque
Enrique Mallada
327
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Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
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Xianyuan Zhan
Jingjing Liu
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Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation
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315
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A Data-driven Method for Safety-critical Control: Designing Control Barrier Functions from State Constraints
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