Constraint-Guided Online Data Selection for Scalable Data-Driven Safety
Filters in Uncertain Robotic Systems

Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems

23 November 2023

Claire J. Tomlin

Koushil Sreenath

Papers citing "Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems"

18 / 18 papers shown

Title
Sensor-Based Distributionally Robust Control for Safe Robot Navigation in Dynamic Environments Kehan Long Yinzhuang Yi Zhirui Dai Sylvia Herbert Jorge Cortés Nikolay Atanasov 238 5 0 28 May 2024
Safety-Critical Control with Bounded Inputs via Reduced Order Models Tamás G. Molnár Aaron D. Ames 34 16 0 06 Mar 2023
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions F. Castañeda Jason J. Choi Wonsuhk Jung Bike Zhang Claire Tomlin Koushil Sreenath 72 6 0 23 Aug 2022
Humanoid Self-Collision Avoidance Using Whole-Body Control with Control Barrier Functions Charles Khazoom Daniel Gonzalez Diaz Yanran Ding Sangbae Kim 65 31 0 01 Jul 2022
Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain Systems Lukas Brunke Siqi Zhou Angela P. Schoellig 36 20 0 08 Apr 2022
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times Daniele Calandriello Luigi Carratino A. Lazaric Michal Valko Lorenzo Rosasco 46 14 0 30 Jan 2022
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations Lars Lindemann Alexander Robey Lejun Jiang Satyajeet Das Stephen Tu Nikolai Matni 81 43 0 18 Nov 2021
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson Zengyi Qin Sicun Gao Chuchu Fan 143 175 0 14 Sep 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression Christian Fiedler C. Scherer Sebastian Trimpe GP 43 68 0 06 May 2021
Control Barriers in Bayesian Learning of System Dynamics Vikas Dhiman M. J. Khojasteh M. Franceschetti Nikolay Atanasov 91 66 0 29 Dec 2020
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics F. Castañeda Jason J. Choi Bike Zhang Claire Tomlin Koushil Sreenath 59 39 0 14 Nov 2020
Control Barrier Functions for Unknown Nonlinear Systems using Gaussian Processes Pushpak Jagtap George J. Pappas Majid Zamani 39 87 0 12 Oct 2020
Neural Lyapunov Control Ya-Chien Chang Nima Roohi Sicun Gao 63 305 0 01 May 2020
Learning for Safety-Critical Control with Control Barrier Functions Andrew J. Taylor Andrew W. Singletary Yisong Yue Aaron D. Ames 87 242 0 20 Dec 2019
Algorithms for Verifying Deep Neural Networks Changliu Liu Tomer Arnon Christopher Lazarus Christopher A. Strong Clark W. Barrett Mykel J. Kochenderfer AAML 86 398 0 15 Mar 2019
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics Felix Berkenkamp Andreas Krause Angela P. Schoellig 126 283 0 14 Feb 2016
Gaussian Process Optimization with Mutual Information E. Contal Vianney Perchet Nicolas Vayatis 89 82 0 19 Nov 2013
A Gentle Introduction to the Kernel Distance J. M. Phillips Suresh Venkatasubramanian 83 86 0 08 Mar 2011

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