A Data-driven Method for Safety-critical Control: Designing Control Barrier Functions from State Constraints

12 December 2023

Papers citing "A Data-driven Method for Safety-critical Control: Designing Control Barrier Functions from State Constraints"

9 / 9 papers shown

Title
Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation Taekyung Kim Robin Inho Kee Dimitra Panagou 102 8 0 22 Sep 2024
Hierarchical Relaxation of Safety-critical Controllers: Mitigating Contradictory Safety Conditions with Application to Quadruped Robots Jaemin Lee Jeeseop Kim Aaron D. Ames 75 10 0 06 May 2023
Humanoid Self-Collision Avoidance Using Whole-Body Control with Control Barrier Functions Charles Khazoom Daniel Gonzalez Diaz Yanran Ding Sangbae Kim 96 31 0 01 Jul 2022
Adaptive Safe Merging Control for Heterogeneous Autonomous Vehicles using Parametric Control Barrier Functions Yiwei Lyu Wenhao Luo John M. Dolan 41 18 0 20 Feb 2022
Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function Haitong Ma Jianyu Chen Shengbo Eben Li Ziyu Lin Yang Guan Yangang Ren Sifa Zheng 56 66 0 02 Mar 2021
Scalable Learning of Safety Guarantees for Autonomous Systems using Hamilton-Jacobi Reachability Sylvia Herbert Jason J. Choi Suvansh Qazi Marsalis T. Gibson Koushil Sreenath Claire Tomlin 77 37 0 15 Jan 2021
Training Neural Network Controllers Using Control Barrier Functions in the Presence of Disturbances Shakiba Yaghoubi Georgios Fainekos S. Sankaranarayanan 66 42 0 18 Jan 2020
Learning for Safety-Critical Control with Control Barrier Functions Andrew J. Taylor Andrew W. Singletary Yisong Yue Aaron D. Ames 121 244 0 20 Dec 2019
A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems J. F. Fisac Anayo K. Akametalu Melanie Zeilinger Shahab Kaynama J. Gillula Claire Tomlin 70 498 0 03 May 2017