Fetching the paper…
Reading the bibliography…
In this paper we seek to quantify the ability of learning to improve safety guarantees endowed by Control Barrier Functions (CBFs).
On the stability of zeno equilibria
A. D. Ames, P. Tabuada, and S. Sastry · 2006
Earlier work this paper cites.
Set-theoretic methods in control
F. Blanchini and S. Miani · 2008
Earlier work this paper cites.
Differential equations and dynamical systems
L. Perko · 2013
Earlier work this paper cites.
Control barrier function based quadratic programs with application to adaptive cruise control
A. Ames, J. Grizzle, and P. Tabuada · 2014
Earlier work this paper cites.
A compendium of comparison function results
C. M. Kellett · 2014
Earlier work this paper cites.
Robustness of control barrier functions for safety critical control
X. Xu, P. Tabuada, J. W. Grizzle, and A. D. Ames · 2015
Earlier work this paper cites.
Safe controller optimization for quadrotors with gaussian processes
F. Berkenkamp, A. P. Schoellig, and A. Krause · 2016
Earlier work this paper cites.
Robust covariate shift regression
X. Chen, M. Monfort, A. Liu, and B. D. Ziebart · 2016
Earlier work this paper cites.
Exponential control barrier functions for enforcing high relative-degree safety-critical constraints
Q. Nguyen and K. Sreenath · 2016
Cited alongside, same era.
Control barrier function based quadratic programs for safety critical systems
A. D. Ames, X. Xu, J. W. Grizzle, and P. Tabuada · 2017
Cited alongside, same era.
Safety barrier certificates for collisions-free multirobot systems
L. Wang, A. D. Ames, and M. Egerstedt · 2017
Cited alongside, same era.
A general safety framework for learning-based control in uncertain robotic systems
J. F. Fisac, A. K. Akametalu, M. N. Zeilinger, S. Kaynama, J. Gillula, and C. J. Tomlin · 2018
Cited alongside, same era.
An online approach to active set invariance
T. Gurriet, M. Mote, A. D. Ames, and E. Feron · 2018
Cited alongside, same era.
Towards a framework for realizable safety critical control through active set invariance
Control barrier functions: Theory and applications
A. D. Ames, S. Coogan, M. Egerstedt, G. Notomista, K. Sreenath, and P. Tabuada · 2019
Later among the works it cites.
End-to-end safe reinforcement learning through barrier functions for safety-critical continuous control tasks
R. Cheng, G. Orosz, R. M. Murray, and J. W. Burdick · 2019
Later among the works it cites.
Barrier-certified adaptive reinforcement learning with applications to brushbot navigation
M. Ohnishi, L. Wang, G. Notomista, and M. Egerstedt · 2019
Later among the works it cites.
Online active safety for robotic manipulators
A. Singletary, P. Nilsson, T. Gurriet, and A. D Ames · 2019
Later among the works it cites.
A control lyapunov perspective on episodic learning via projection to state stability
A. J. Taylor, V. D. Dorobantu, M. Krishnamoorthy, H. M. Le, Y. Yue, and A. D. Ames · 2019
Later among the works it cites.
Robust regression for safe exploration in control
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
T. Gurriet, A. Singletary, J. Reher, L. Ciarletta, E. Feron, and A. Ames · 2018
Cited alongside, same era.
Input-to-state safety with control barrier functions
S. Kolathaya and A. D. Ames · 2018
Cited alongside, same era.
Safe learning of quadrotor dynamics using barrier certificates
L. Wang, E. A. Theodorou, and M. Egerstedt · 2018
Cited alongside, same era.
A. Liu, G. Shi, S.-J. Chung, A. Anandkumar, and Y. Yue · 2020
Closest in time.
Learning for safety-critical control with control barrier functions
A. J. Taylor, A. Singletary, Y. Yue, and A. D. Ames · 2020
Closest in time.