Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions

23 August 2022

Papers citing "Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions"

7 / 7 papers shown

Title
Conformal Prediction of Motion Control Performance for an Automated Vehicle in Presence of Actuator Degradations and Failures Richard Schubert Marvin Loba Jasper Sünnemann Torben Stolte Markus Maurer 21 0 0 25 Apr 2024
Safety Filters for Black-Box Dynamical Systems by Learning Discriminating Hyperplanes Will Lavanakul Jason J. Choi K. Sreenath Claire J. Tomlin 51 12 0 07 Feb 2024
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 35 3 0 23 Nov 2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning Shengbo Wang Ke Li Yin Yang Yuting Cao Tingwen Huang S. Wen 25 4 0 03 Jul 2023
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning X. Dai Armin Lederer Zewen Yang Sandra Hirche 35 13 0 14 May 2023
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson Zengyi Qin Sicun Gao Chuchu Fan 120 173 0 14 Sep 2021
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems Andrew J. Taylor Victor D. Dorobantu Hoang Minh Le Yisong Yue Aaron D. Ames 117 78 0 04 Mar 2019