Bayesian Learning-Based Adaptive Control for Safety Critical Systems

5 October 2019

Ali-akbar Agha-mohammadi

Evangelos A. Theodorou

BDL

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Papers citing "Bayesian Learning-Based Adaptive Control for Safety Critical Systems"

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Title
Learning Piecewise Residuals of Control Barrier Functions for Safety of Switching Systems using Multi-Output Gaussian Processes Mohammad Aali Jun Liu 32 0 0 26 Mar 2024
Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving Lei Zheng Rui Yang Zeng Peng Wei Yan Michael Yu Wang Jun Ma 42 2 0 07 Mar 2024
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang Pasi Fränti 3DV 38 3 0 16 Jul 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
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions F. Castañeda Jason J. Choi Wonsuhk Jung Bike Zhang Claire Tomlin K. Sreenath 48 6 0 23 Aug 2022
Safe Learning-Based Feedback Linearization Tracking Control for Nonlinear System with Event-Triggered Model Update Zhixuan Wu Ruicong Yang Lei Zheng Hui Cheng 35 12 0 07 Mar 2022
On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation T. Lew Apoorva Sharma James Harrison Edward Schmerling Marco Pavone 29 6 0 11 Nov 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 37 66 0 26 Jul 2021
Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty F. Castañeda Jason J. Choi Bike Zhang Claire Tomlin K. Sreenath 30 50 0 13 Jun 2021
Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety Noel Csomay-Shanklin Ryan K. Cosner Min Dai Andrew J. Taylor Aaron D. Ames 32 24 0 04 May 2021
Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty Rohan Sinha James Harrison Spencer M. Richards Marco Pavone 24 22 0 16 Apr 2021
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge A. Agha K. Otsu B. Morrell David D. Fan Rohan Thakker ... Giovanni Beltrame G. Nikolakopoulos David Hyunchul Shim Luca Carlone J. W. Burdick 38 142 0 21 Mar 2021
Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty Richard Cheng R. Murray J. W. Burdick 39 6 0 05 Mar 2021
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 K. Sreenath 32 38 0 14 Nov 2020
Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties Richard Cheng M. J. Khojasteh Aaron D. Ames J. W. Burdick 22 87 0 11 Apr 2020
Deep Learning Tubes for Tube MPC David D. Fan Ali-akbar Agha-mohammadi Evangelos A. Theodorou 24 57 0 05 Feb 2020
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics M. J. Khojasteh Vikas Dhiman M. Franceschetti Nikolay Atanasov 34 73 0 20 Dec 2019
Learning for Safety-Critical Control with Control Barrier Functions Andrew J. Taylor Andrew W. Singletary Yisong Yue Aaron D. Ames 21 236 0 20 Dec 2019
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving Grady Williams P. Drews Brian Goldfain James M. Rehg Evangelos A. Theodorou 81 263 0 07 Jul 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015