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A predictive safety filter for learning-based control of constrained
  nonlinear dynamical systems

A predictive safety filter for learning-based control of constrained nonlinear dynamical systems

13 December 2018
K. P. Wabersich
M. Zeilinger
    AI4CE
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Provably Correct Training of Neural Network Controllers Using Reachability Analysis
Xiaowu Sun
Yasser Shoukry
20
7
0
22 Feb 2021
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