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1812.05506
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A predictive safety filter for learning-based control of constrained nonlinear dynamical systems
13 December 2018
K. P. Wabersich
M. Zeilinger
AI4CE
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Papers citing
"A predictive safety filter for learning-based control of constrained nonlinear dynamical systems"
28 / 28 papers shown
Title
Embedded Safe Reactive Navigation for Multirotors Systems using Control Barrier Functions
Nazar Misyats
Marvin Harms
Morten Nissov
Martin Jacquet
Kostas Alexis
36
0
0
22 Apr 2025
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
Yarden As
Bhavya Sukhija
Lenart Treven
Carmelo Sferrazza
Stelian Coros
Andreas Krause
33
1
0
12 Oct 2024
Robots that Suggest Safe Alternatives
Hyun Joe Jeong
Andrea V. Bajcsy
Andrea Bajcsy
OffRL
46
1
0
15 Sep 2024
Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world Environments
Marc Heim
Fráncisco Suarez-Ruiz
Ishraq Bhuiyan
Bruno Brito
Momchil S. Tomov
34
1
0
14 Sep 2024
Neural Control Barrier Functions for Safe Navigation
Marvin Harms
M. Kulkarni
Nikhil Khedekar
Martin Jacquet
Kostas Alexis
45
8
0
29 Jul 2024
PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control
Jasper Hoffmann
Diego Fernandez Clausen
Julien Brosseit
Julian Bernhard
Klemens Esterle
M. Werling
Michael Karg
Joschka Boedecker
39
1
0
29 Apr 2024
An Industrial Perspective on Multi-Agent Decision Making for Interoperable Robot Navigation following the VDA5050 Standard
Niels van Duijkeren
Luigi Palmieri
R. Lange
Alexander Kleiner
AI4CE
29
0
0
24 Nov 2023
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control
Baha Zarrouki
Chenyang Wang
Johannes Betz
24
2
0
07 Nov 2023
A Learning-Based Framework for Safe Human-Robot Collaboration with Multiple Backup Control Barrier Functions
Neil C. Janwani
Ersin Daş
Thomas Touma
Skylar X. Wei
Tamas G. Molnar
J. W. Burdick
32
2
0
09 Oct 2023
Shielded Reinforcement Learning for Hybrid Systems
Asger Horn Brorholt
P. G. Jensen
Kim G. Larsen
Florian Lorber
Christian Schilling
20
4
0
28 Aug 2023
Actor-Critic Model Predictive Control
Angel Romero
Yunlong Song
Davide Scaramuzza
44
35
0
16 Jun 2023
Conformal Predictive Safety Filter for RL Controllers in Dynamic Environments
Kegan J. Strawn
Nora Ayanian
Lars Lindemann
32
8
0
05 Jun 2023
Safely Learning Dynamical Systems
Amir Ali Ahmadi
A. Chaudhry
Vikas Sindhwani
Stephen Tu
28
3
0
20 May 2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning
Nick Bührer
Zhejun Zhang
Alexander Liniger
Feng Yu
Luc Van Gool
24
1
0
07 Mar 2023
Deep Model Predictive Control
Prabhat Kumar Mishra
M. V. Gasparino
A. E. B. Velasquez
Girish Chowdhary
16
0
0
27 Feb 2023
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach
Haimin Hu
David Isele
S. Bae
J. F. Fisac
29
17
0
01 Feb 2023
Sparse neural networks with skip-connections for identification of aluminum electrolysis cell
E. Lundby
Haakon Robinson
Adil Rasheed
I. Halvorsen
J. Gravdahl
30
2
0
02 Jan 2023
Safe Reinforcement Learning with Probabilistic Guarantees Satisfying Temporal Logic Specifications in Continuous Action Spaces
Hanna Krasowski
Prithvi Akella
Aaron D. Ames
Matthias Althoff
34
2
0
12 Dec 2022
A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing
Rudolf Reiter
Jasper Hoffmann
Joschka Boedecker
Moritz Diehl
30
13
0
03 Dec 2022
Model Predictive Control for Flexible Joint Robots
Maged Iskandar
C. V. Ommeren
Xuwei Wu
Alin Albu-Schaffer
Alexander Dietrich
19
1
0
14 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks
Xiaowu Sun
Yasser Shoukry
48
11
0
11 Oct 2022
Parameter-Conditioned Reachable Sets for Updating Safety Assurances Online
Javier Borquez
Kensuke Nakamura
Somil Bansal
14
14
0
29 Sep 2022
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
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems
Bhavya Sukhija
M. Turchetta
David Lindner
Andreas Krause
Sebastian Trimpe
Dominik Baumann
31
17
0
24 Jan 2022
Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units
Pegah Rokhforoz
Olga Fink
9
7
0
20 Dec 2021
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control
Yuheng Wang
Margaret P. Chapman
38
33
0
18 Sep 2021
Safe Chance Constrained Reinforcement Learning for Batch Process Control
M. Mowbray
Panagiotis Petsagkourakis
Ehecatl Antonio del Rio Chanona
Dongda Zhang
OffRL
34
34
0
23 Apr 2021
Provably Correct Training of Neural Network Controllers Using Reachability Analysis
Xiaowu Sun
Yasser Shoukry
20
7
0
22 Feb 2021
1