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2004.05273
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Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties
IEEE Conference on Decision and Control (CDC), 2020
11 April 2020
Richard Cheng
M. J. Khojasteh
Aaron D. Ames
J. W. Burdick
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Papers citing
"Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties"
37 / 37 papers shown
Title
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Distributed Risk-Sensitive Safety Filters for Uncertain Discrete-Time Systems
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Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Cars
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Barriers on the EDGE: A scalable CBF architecture over EDGE for safe aerial-ground multi-agent coordination
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Decentralized Safe and Scalable Multi-Agent Control under Limited Actuation
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Generalizable Physics-Informed Learning for Stochastic Safety-Critical Systems
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Albert Chern
Yorie Nakahira
383
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Learning Input Constrained Control Barrier Functions for Guaranteed Safety of Car-Like Robots
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Dominic Nightingale
Jack Silberman
Maurício de Oliveira
265
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19 Feb 2024
GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
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Songyuan Zhang
Oswin So
Kunal Garg
Chuchu Fan
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25 Jan 2024
Learning Adaptive Safety for Multi-Agent Systems
IEEE International Conference on Robotics and Automation (ICRA), 2023
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257
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LQR-CBF-RRT*: Safe and Optimal Motion Planning
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237
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03 Apr 2023
Safe Hierarchical Navigation in Crowded Dynamic Uncertain Environments
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Shiyu Feng
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Changliu Liu
Patricio A. Vela
105
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24 Mar 2023
Online Control Barrier Functions for Decentralized Multi-Agent Navigation
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227
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Rethinking Safe Control in the Presence of Self-Seeking Humans
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Zixuan Zhang
Maitham F. AL-Sunni
Haoming Jing
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Yorie Nakahira
184
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01 Dec 2022
Satellite Navigation and Coordination with Limited Information Sharing
Conference on Learning for Dynamics & Control (L4DC), 2022
Sydney I. Dolan
Siddharth Nayak
H. Balakrishnan
152
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07 Nov 2022
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions
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Jason J. Choi
Wonsuhk Jung
Bike Zhang
Claire Tomlin
Koushil Sreenath
211
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23 Aug 2022
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions
Workshop on the Algorithmic Foundations of Robotics (WAFR), 2022
Wenhao Luo
Wen Sun
Ashish Kapoor
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206
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Robust Action Governor for Uncertain Piecewise Affine Systems with Non-convex Constraints and Safe Reinforcement Learning
Yutong Li
Nan I. Li
H. E. Tseng
Anouck Girard
Dimitar Filev
Ilya Kolmanovsky
83
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17 Jul 2022
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models
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Jun Zeng
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Koushil Sreenath
178
20
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11 May 2022
SABLAS: Learning Safe Control for Black-box Dynamical Systems
IEEE Robotics and Automation Letters (RA-L), 2022
Zengyi Qin
Dawei Sun
Chuchu Fan
221
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06 Jan 2022
ProBF: Learning Probabilistic Safety Certificates with Barrier Functions
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Sulin Liu
J. F. Fisac
Ryan P. Adams
Peter J. Ramadge
187
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Learning Safety Filters for Unknown Discrete-Time Linear Systems
IEEE Control Systems Letters (L-CSS), 2021
Farhad Farokhi
Alex S. C. Leong
Mohammad Zamani
Iman Shames
134
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Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Amanda Prorok
Matthew Malencia
Luca Carlone
Gaurav Sukhatme
Brian M. Sadler
Vijay Kumar
235
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25 Sep 2021
Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation
Yuxiang Cui
Longzhong Lin
Xiaolong Huang
Dongkun Zhang
Yue Wang
R. Xiong
185
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16 Sep 2021
Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios
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Achint Agarwal
Javier Alonso-Mora
188
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09 Jul 2021
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
204
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13 Jun 2021
Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric
Dawei Sun
M. J. Khojasteh
S. Shekhar
Chuchu Fan
163
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13 May 2021
Safe Multi-Agent Reinforcement Learning through Decentralized Multiple Control Barrier Functions
Zhiyuan Cai
Huanhui Cao
Wenjie Lu
Lin Zhang
Hao Xiong
70
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Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty
IEEE International Conference on Robotics and Automation (ICRA), 2021
Richard Cheng
R. Murray
J. W. Burdick
284
10
0
05 Mar 2021
Safe Learning of Uncertain Environments
F. Farokhi
Alex S. C. Leong
Iman Shames
Mohammad Zamani
141
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02 Mar 2021
Provably Correct Training of Neural Network Controllers Using Reachability Analysis
Xiaowu Sun
Yasser Shoukry
173
7
0
22 Feb 2021
Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates
International Conference on Learning Representations (ICLR), 2021
Zengyi Qin
Jianchao Tan
Yuxiao Chen
Jingkai Chen
Chuchu Fan
301
151
0
14 Jan 2021
Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs
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A. Rangi
M. J. Khojasteh
M. Franceschetti
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330
10
0
21 Nov 2020
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics
American Control Conference (ACC), 2020
F. Castañeda
Jason J. Choi
Bike Zhang
Claire Tomlin
Koushil Sreenath
203
44
0
14 Nov 2020
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework
IEEE Transactions on robotics (IEEE Trans. Robot.), 2020
T. Lew
Apoorva Sharma
James Harrison
Andrew Bylard
Marco Pavone
281
51
0
26 Aug 2020
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
James Ferlez
Mahmoud M. Elnaggar
Yasser Shoukry
C. Fleming
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288
36
0
16 Jun 2020
Robust Safety-Critical Control for Dynamic Robotics
Quan Nguyen
Koushil Sreenath
93
14
0
14 May 2020
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