Control Barriers in Bayesian Learning of System Dynamics

Control Barriers in Bayesian Learning of System Dynamics

29 December 2020

M. J. Khojasteh

M. Franceschetti

Nikolay Atanasov

Papers citing "Control Barriers in Bayesian Learning of System Dynamics"

17 / 17 papers shown

Title
Bayesian meta learning for trustworthy uncertainty quantification Zhenyuan Yuan Thinh T. Doan UQCV 43 0 0 27 Jul 2024
Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments Kehan Long Yinzhuang Yi Zhirui Dai Sylvia Herbert Jorge Cortés Nikolay Atanasov 146 4 0 28 May 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 Koushil Sreenath 42 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 29 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 38 13 0 14 May 2023
Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions Armin Lederer Azra Begzadić Neha Das Sandra Hirche 11 4 0 01 Dec 2022
Gaussian Process Barrier States for Safe Trajectory Optimization and Control Hassan Almubarak Manan S. Gandhi Yuichiro Aoyama N. Sadegh Evangelos A. Theodorou 31 0 0 01 Dec 2022
Geometry of Radial Basis Neural Networks for Safety Biased Approximation of Unsafe Regions Ahmad Abuaish Mohit Srinivasan Patricio A. Vela 52 3 0 11 Oct 2022
Safe and Stable Control Synthesis for Uncertain System Models via Distributionally Robust Optimization Kehan Long Yinzhuang Yi Jorge Cortés Nikolay Atanasov 22 9 0 04 Oct 2022
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey S. Sun AI4CE 43 10 0 08 Sep 2022
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions F. Castañeda Jason J. Choi Wonsuhk Jung Bike Zhang Claire Tomlin Koushil Sreenath 48 6 0 23 Aug 2022
High Order Robust Adaptive Control Barrier Functions and Exponentially Stabilizing Adaptive Control Lyapunov Functions Max H. Cohen C. Belta 17 27 0 03 Mar 2022
Safe Reinforcement Learning Using Robust Control Barrier Functions Y. Emam Gennaro Notomista Paul Glotfelter Z. Kira M. Egerstedt OffRL 24 39 0 11 Oct 2021
Safety-Critical Learning of Robot Control with Temporal Logic Specifications Mingyu Cai C. Vasile 35 4 0 07 Sep 2021
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty F. Castañeda Jason J. Choi Bike Zhang Claire Tomlin Koushil Sreenath 30 50 0 13 Jun 2021
Adaptive Control Barrier Functions for Safety-Critical Systems Filippo Ascolani C. Belta Christos G. Cassandras 49 12 0 11 Feb 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015