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2011.07183
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Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics
American Control Conference (ACC), 2020
14 November 2020
F. Castañeda
Jason J. Choi
Bike Zhang
Claire Tomlin
Koushil Sreenath
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Papers citing
"Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics"
21 / 21 papers shown
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Distributionally Robust Policy and Lyapunov-Certificate Learning
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Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller
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01 Apr 2024
Learning Piecewise Residuals of Control Barrier Functions for Safety of Switching Systems using Multi-Output Gaussian Processes
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Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving
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07 Mar 2024
Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models
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29 Feb 2024
Optimized Control Invariance Conditions for Uncertain Input-Constrained Nonlinear Control Systems
IEEE Control Systems Letters (L-CSS), 2023
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Siqi Zhou
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Angela P. Schoellig
333
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15 Dec 2023
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems
IEEE Transactions on robotics (TRO), 2023
Jason J. Choi
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Wonsuhk Jung
Bike Zhang
Claire J. Tomlin
Koushil Sreenath
299
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23 Nov 2023
A Learning-Based Framework for Safe Human-Robot Collaboration with Multiple Backup Control Barrier Functions
IEEE International Conference on Robotics and Automation (ICRA), 2023
Neil C. Janwani
Ersin Daş
Thomas Touma
Skylar X. Wei
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09 Oct 2023
Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter
IEEE Control Systems Letters (L-CSS), 2023
Adam W. Hall
Melissa Greeff
Angela P. Schoellig
202
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Distributionally Robust Lyapunov Function Search Under Uncertainty
Conference on Learning for Dynamics & Control (L4DC), 2022
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Gaussian Process Barrier States for Safe Trajectory Optimization and Control
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Manan S. Gandhi
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01 Dec 2022
Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees
IEEE International Conference on Robotics and Automation (ICRA), 2022
Ewerton R. Vieira
Aravind Sivaramakrishnan
Yao Song
Edgar Granados
Marcio Gameiro
Konstantin Mischaikow
Ying Hung
Kostas E. Bekris
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04 Oct 2022
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
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Jason J. Choi
Wonsuhk Jung
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Claire Tomlin
Koushil Sreenath
305
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23 Aug 2022
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
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T. Westenbroek
F. Castañeda
Ayush Agrawal
S. Shankar Sastry
Koushil Sreenath
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13 Aug 2022
Gaussian Control Barrier Functions : A Non-Parametric Paradigm to Safety
IEEE Access (IEEE Access), 2022
Mouhyemen Khan
Tatsuya Ibuki
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311
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29 Mar 2022
Safe Learning-Based Feedback Linearization Tracking Control for Nonlinear System with Event-Triggered Model Update
IEEE Robotics and Automation Letters (RA-L), 2022
Zhixuan Wu
Ruicong Yang
Lei Zheng
Hui Cheng
200
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07 Mar 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods
IEEE Transactions on robotics (TRO), 2022
Charles Dawson
Sicun Gao
Chuchu Fan
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ProBF: Learning Probabilistic Safety Certificates with Barrier Functions
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Sulin Liu
J. F. Fisac
Ryan P. Adams
Peter J. Ramadge
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Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty
IEEE Conference on Decision and Control (CDC), 2021
F. Castañeda
Jason J. Choi
Bike Zhang
Claire Tomlin
Koushil Sreenath
378
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13 Jun 2021
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