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Safe Learning in Robotics: From Learning-Based Control to Safe
  Reinforcement Learning

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

13 August 2021
Lukas Brunke
Melissa Greeff
Adam W. Hall
Zhaocong Yuan
Siqi Zhou
Jacopo Panerati
Angela P. Schoellig
    OffRL
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Papers citing "Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning"

50 / 83 papers shown
Title
Safety and optimality in learning-based control at low computational cost
Safety and optimality in learning-based control at low computational cost
Dominik Baumann
Krzysztof Kowalczyk
Cristian R. Rojas
K. Tiels
Pawel Wachel
29
0
0
12 May 2025
Skill-based Safe Reinforcement Learning with Risk Planning
Skill-based Safe Reinforcement Learning with Risk Planning
Hanping Zhang
Yuhong Guo
OffRL
OnRL
40
0
0
02 May 2025
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Yuhan Li
Eugene Han
Yifan Hu
Wenzhuo Zhou
Zhengling Qi
Yifan Cui
Ruoqing Zhu
OffRL
132
0
0
01 May 2025
Safe Autonomous Environmental Contact for Soft Robots using Control Barrier Functions
Safe Autonomous Environmental Contact for Soft Robots using Control Barrier Functions
Akua Dickson
Juan C. Pacheco Garcia
Meredith L. Anderson
Ran Jing
Sarah Alizadeh-Shabdiz
Audrey X. Wang
Charles DeLorey
Zach J. Patterson
Andrew P. Sabelhaus
30
1
0
20 Apr 2025
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration
Gabriele Calzolari
Vidya Sumathy
Christoforos Kanellakis
G. Nikolakopoulos
121
0
0
16 Apr 2025
Is Bellman Equation Enough for Learning Control?
Haoxiang You
Lekan Molu
Ian Abraham
68
0
0
04 Mar 2025
Digital Twin-Enabled Real-Time Control in Robotic Additive Manufacturing via Soft Actor-Critic Reinforcement Learning
Digital Twin-Enabled Real-Time Control in Robotic Additive Manufacturing via Soft Actor-Critic Reinforcement Learning
Matsive Ali
Sandesh Giri
Sen Liu
Qin Yang
AI4CE
34
0
0
29 Jan 2025
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning
Zijian Guo
Weichao Zhou
Wenchao Li
OffRL
94
2
0
28 Jan 2025
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions
Cen Li
Marc Toussaint
Barbara Rakitsch
Christoph Zimmer
OffRL
133
0
0
26 Jan 2025
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis
Long Kiu Chung
Shreyas Kousik
166
0
0
22 Jan 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Keru Chen
Honghao Wei
Zhigang Deng
Sen Lin
OffRL
OnRL
89
0
0
31 Dec 2024
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards
Lukas Brunke
Yanni Zhang
Ralf Romer
Jack Naimer
Nikola Staykov
Siqi Zhou
Angela P. Schoellig
55
4
0
19 Oct 2024
The State of Robot Motion Generation
The State of Robot Motion Generation
Kostas E. Bekris
Joe Doerr
Patrick Meng
Sumanth Tangirala
3DV
34
2
0
16 Oct 2024
Disturbance Observer-based Control Barrier Functions with Residual Model
  Learning for Safe Reinforcement Learning
Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning
Dvij Kalaria
Qin Lin
John M. Dolan
OffRL
28
0
0
09 Oct 2024
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning
Claire Chen
Shuze Liu
Shangtong Zhang
OffRL
88
1
0
08 Oct 2024
Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks
Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly Tasks
Ahmed Shokry
Walid Gomaa
Tobias Zaenker
Murad Dawood
Shady A. Maged
Mohammed I. Awad
Maren Bennewitz
Maren Bennewitz
OffRL
30
0
0
24 Sep 2024
Robots that Suggest Safe Alternatives
Robots that Suggest Safe Alternatives
Hyun Joe Jeong
Andrea V. Bajcsy
Andrea Bajcsy
OffRL
36
1
0
15 Sep 2024
AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models
AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models
Yifei Yao
Wentao He
Chenyu Gu
Jiaheng Du
Fuwei Tan
Zhen Zhu
Junguo Lu
OffRL
29
2
0
13 Sep 2024
PACSBO: Probably approximately correct safe Bayesian optimization
PACSBO: Probably approximately correct safe Bayesian optimization
Abdullah Tokmak
Thomas B. Schon
Dominik Baumann
29
2
0
02 Sep 2024
Reinforcement Learning for Sustainable Energy: A Survey
Reinforcement Learning for Sustainable Energy: A Survey
Koen Ponse
Felix Kleuker
Márton Fejér
Álvaro Serra-Gómez
Aske Plaat
Thomas M. Moerland
OffRL
AI4CE
40
1
0
26 Jul 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Milan Ganai
Sicun Gao
Sylvia L. Herbert
32
6
0
12 Jul 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
Zhehua Zhou
Xuan Xie
Jiayang Song
Zhan Shu
Lei Ma
37
1
0
06 Jun 2024
Feasibility Consistent Representation Learning for Safe Reinforcement
  Learning
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
Zhepeng Cen
Yi-Fan Yao
Zuxin Liu
Ding Zhao
OffRL
32
3
0
20 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine
  Learning
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
Ming Jin
36
2
0
18 May 2024
Closing the Perception-Action Loop for Semantically Safe Navigation in
  Semi-Static Environments
Closing the Perception-Action Loop for Semantically Safe Navigation in Semi-Static Environments
Jingxing Qian
Siqi Zhou
Nicholas Jianrui Ren
Veronica Chatrath
Angela P. Schoellig
31
0
0
22 Apr 2024
Online Learning with Unknown Constraints
Online Learning with Unknown Constraints
Karthik Sridharan
Seung Won Wilson Yoo
11
2
0
06 Mar 2024
On the Hardness of Learning to Stabilize Linear Systems
On the Hardness of Learning to Stabilize Linear Systems
Xiong Zeng
Zexiang Liu
Zhe Du
N. Ozay
Mario Sznaier
21
3
0
18 Nov 2023
Reinforcement Learning with Model Predictive Control for Highway Ramp Metering
Reinforcement Learning with Model Predictive Control for Highway Ramp Metering
Filippo Airaldi
B. de Schutter
Azita Dabiri
36
4
0
15 Nov 2023
Learning-Initialized Trajectory Planning in Unknown Environments
Learning-Initialized Trajectory Planning in Unknown Environments
Yicheng Chen
Jinjie Li
Wenyuan Qin
Yongzhao Hua
Xiwang Dong
Qingdong Li
21
0
0
19 Sep 2023
Learning to Recharge: UAV Coverage Path Planning through Deep
  Reinforcement Learning
Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning
Mirco Theile
Harald Bayerlein
Marco Caccamo
Alberto L. Sangiovanni-Vincentelli
18
5
0
06 Sep 2023
A Remote Sim2real Aerial Competition: Fostering Reproducibility and
  Solutions' Diversity in Robotics Challenges
A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges
Spencer Teetaert
Wenda Zhao
Niu Xinyuan
Hashir Zahir
Huiyu Leong
...
Lukas Brunke
Melissa Greeff
Wolfgang Hoenig
Jacopo Panerati
T. China
26
1
0
31 Aug 2023
An Extended Convergence Result for Behaviour Tree Controllers
An Extended Convergence Result for Behaviour Tree Controllers
Christopher Iliffe Sprague
Petter Ögren
16
1
0
17 Aug 2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian
  Learning
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning
Shengbo Wang
Ke Li
Yin Yang
Yuting Cao
Tingwen Huang
S. Wen
21
4
0
03 Jul 2023
Actor-Critic Model Predictive Control
Actor-Critic Model Predictive Control
Angel Romero
Yunlong Song
Davide Scaramuzza
36
35
0
16 Jun 2023
Optimal Exploration for Model-Based RL in Nonlinear Systems
Optimal Exploration for Model-Based RL in Nonlinear Systems
Andrew Wagenmaker
Guanya Shi
Kevin G. Jamieson
31
14
0
15 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
Optimality Principles in Spacecraft Neural Guidance and Control
Optimality Principles in Spacecraft Neural Guidance and Control
Dario Izzo
E. Blazquez
Robin Ferede
Sebastien Origer
C. De Wagter
Guido de Croon
22
8
0
22 May 2023
Safely Learning Dynamical Systems
Safely Learning Dynamical Systems
Amir Ali Ahmadi
A. Chaudhry
Vikas Sindhwani
Stephen Tu
23
3
0
20 May 2023
Introspective Tips: Large Language Model for In-Context Decision Making
Introspective Tips: Large Language Model for In-Context Decision Making
Liting Chen
Lu Wang
Hang Dong
Yali Du
Jie Yan
...
Pu Zhao
Si Qin
Saravan Rajmohan
Qingwei Lin
Dongmei Zhang
LLMAG
LRM
30
23
0
19 May 2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov
  Barrier Functions
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions
Desong Du
Shao-Fu Han
Naiming Qi
Haitham Bou-Ammar
Jun Wang
Wei Pan
24
15
0
16 May 2023
Learning on Manifolds: Universal Approximations Properties using
  Geometric Controllability Conditions for Neural ODEs
Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs
Karthik Elamvazhuthi
Xuechen Zhang
Samet Oymak
Fabio Pasqualetti
AI4CE
16
6
0
15 May 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial
  Traffic Flow
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow
Dongkun Zhang
Jintao Xue
Yuxiang Cui
Yunkai Wang
Eryun Liu
Wei Jing
Junbo Chen
R. Xiong
Yue Wang
27
0
0
25 Apr 2023
Unmatched uncertainty mitigation through neural network supported model
  predictive control
Unmatched uncertainty mitigation through neural network supported model predictive control
M. V. Gasparino
Prabhat Kumar Mishra
Girish Chowdhary
25
2
0
22 Apr 2023
An adaptive safety layer with hard constraints for safe reinforcement
  learning in multi-energy management systems
An adaptive safety layer with hard constraints for safe reinforcement learning in multi-energy management systems
Glenn Ceusters
M. A. Putratama
R. Franke
Ann Nowé
M. Messagie
24
4
0
18 Apr 2023
Control invariant set enhanced reinforcement learning for process
  control: improved sampling efficiency and guaranteed stability
Control invariant set enhanced reinforcement learning for process control: improved sampling efficiency and guaranteed stability
Song Bo
Xunyuan Yin
Jinfeng Liu
OffRL
18
1
0
11 Apr 2023
Physical Deep Reinforcement Learning Towards Safety Guarantee
Physical Deep Reinforcement Learning Towards Safety Guarantee
H. Cao
Y. Mao
L. Sha
Marco Caccamo
AI4CE
14
5
0
29 Mar 2023
Robotic Packaging Optimization with Reinforcement Learning
Robotic Packaging Optimization with Reinforcement Learning
E. Drijver
Rodrigo Pérez-Dattari
Jens Kober
Cosimo Della Santina
Zlatan Ajanović
OffRL
13
1
0
26 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICICLE: Interpretable Class Incremental Continual Learning
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
24
28
0
14 Mar 2023
A Human-Centered Safe Robot Reinforcement Learning Framework with
  Interactive Behaviors
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors
Shangding Gu
Alap Kshirsagar
Yali Du
Guang Chen
Jan Peters
Alois C. Knoll
26
14
0
25 Feb 2023
Swapped goal-conditioned offline reinforcement learning
Swapped goal-conditioned offline reinforcement learning
Wenyan Yang
Huiling Wang
Dingding Cai
J. Pajarinen
Joni-Kristen Kämäräinen
OffRL
OnRL
28
1
0
17 Feb 2023
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