SABLAS: Learning Safe Control for Black-box Dynamical Systems

6 January 2022

Chuchu Fan

Papers citing "SABLAS: Learning Safe Control for Black-box Dynamical Systems"

20 / 20 papers shown

Title
Addressing Relative Degree Issues in Control Barrier Function Synthesis with Physics-Informed Neural Networks Lukas Brunke Siqi Zhou Francesco DÓrazio Angela P. Schoellig 27 0 0 08 Apr 2025
Neural Control and Certificate Repair via Runtime Monitoring Emily Yu Đorđe Žikelić T. Henzinger AAML 62 0 0 17 Dec 2024
Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving Yuxuan Yang Hussein Sibai 44 2 0 29 Oct 2024
Domain Adaptive Safety Filters via Deep Operator Learning Lakshmideepakreddy Manda Shaoru Chen Mahyar Fazlyab 18 1 0 18 Oct 2024
RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution Wonsuhk Jung Dennis Anthony Utkarsh Aashu Mishra Nadun Ranawaka Arachchige Matthew Bronars Danfei Xu Shreyas Kousik 31 0 0 28 Sep 2024
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning Arko Banerjee Kia Rahmani Joydeep Biswas Işıl Dillig 36 2 0 22 May 2024
POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints Jean-Baptiste Bouvier Kartik Nagpal Negar Mehr 39 3 0 20 Mar 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control Songyuan Zhang Oswin So Kunal Garg Chuchu Fan AI4CE 31 22 0 25 Jan 2024
Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation Shaoru Chen Mahyar Fazlyab 27 6 0 11 Jan 2024
Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems Lukas Brunke Siqi Zhou Mingxuan Che Angela P. Schoellig 18 5 0 15 Dec 2023
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems Jason J. Choi F. Castañeda Wonsuhk Jung Bike Zhang Claire J. Tomlin K. Sreenath 25 3 0 23 Nov 2023
An Intelligent Social Learning-based Optimization Strategy for Black-box Robotic Control with Reinforcement Learning Xubo Yang Jian Gao Ting Wang Yaozhen He 11 0 0 11 Nov 2023
Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon Federico Pizarro Bejarano Lukas Brunke Angela P. Schoellig 14 8 0 20 Sep 2023
Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory Daniel C.H. Tan Fernando Acero Robert McCarthy Dimitrios Kanoulas Zhibin Li OffRL 22 2 0 06 Jun 2023
Fulfilling Formal Specifications ASAP by Model-free Reinforcement Learning Mengyu Liu Pengyuan Lu Xin Chen Fanxin Kong O. Sokolsky Insup Lee 16 3 0 25 Apr 2023
ConBaT: Control Barrier Transformer for Safe Policy Learning Yue Meng Sai H. Vemprala Rogerio Bonatti Chuchu Fan Ashish Kapoor OffRL 35 3 0 07 Mar 2023
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States F. Castañeda Haruki Nishimura R. McAllister K. Sreenath Adrien Gaidon OffRL 29 15 0 27 Jan 2023
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions F. Castañeda Jason J. Choi Wonsuhk Jung Bike Zhang Claire Tomlin K. Sreenath 40 6 0 23 Aug 2022
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking Yanran Wang James O’Keeffe Qiuchen Qian David E. Boyle 20 8 0 15 Jul 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods Charles Dawson Sicun Gao Chuchu Fan 23 228 0 23 Feb 2022