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Synthesis of Control Barrier Functions Using a Supervised Machine
  Learning Approach

Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach

10 March 2020
Mohit Srinivasan
A. Dabholkar
Samuel Coogan
Patricio Vela
ArXivPDFHTML

Papers citing "Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach"

12 / 12 papers shown
Title
Navigating Polytopes with Safety: A Control Barrier Function Approach
Navigating Polytopes with Safety: A Control Barrier Function Approach
Tamas G. Molnar
38
0
0
22 May 2025
Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions
Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions
Matthew Kim
William Sharpless
Hyun Joe Jeong
S. Tonkens
Somil Bansal
Sylvia Herbert
45
0
0
16 May 2025
Safe Navigation in Unmapped Environments for Robotic Systems with Input Constraints
Safe Navigation in Unmapped Environments for Robotic Systems with Input Constraints
Amirsaeid Safari
Jesse B. Hoagg
55
1
0
03 Oct 2024
Time-Varying Soft-Maximum Barrier Functions for Safety in Unmapped and Dynamic Environments
Time-Varying Soft-Maximum Barrier Functions for Safety in Unmapped and Dynamic Environments
Amirsaeid Safari
Jesse B. Hoagg
87
5
0
02 Sep 2024
Formal Verification and Control with Conformal Prediction
Formal Verification and Control with Conformal Prediction
Lars Lindemann
Yiqi Zhao
Xinyi Yu
George J. Pappas
Jyotirmoy Deshmukh
331
16
0
31 Aug 2024
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers
James Ferlez
Mahmoud M. Elnaggar
Yasser Shoukry
C. Fleming
AAML
69
33
0
16 Jun 2020
Autonomous Navigation in Unknown Environments using Sparse Kernel-based
  Occupancy Mapping
Autonomous Navigation in Unknown Environments using Sparse Kernel-based Occupancy Mapping
T. Duong
Nikhil Das
Michael C. Yip
Nikolay Atanasov
108
4
0
05 Feb 2020
End-to-End Safe Reinforcement Learning through Barrier Functions for
  Safety-Critical Continuous Control Tasks
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks
Richard Cheng
G. Orosz
R. Murray
J. W. Burdick
42
613
0
21 Mar 2019
An Optimal Task Allocation Strategy for Heterogeneous Multi-Robot
  Systems
An Optimal Task Allocation Strategy for Heterogeneous Multi-Robot Systems
Gennaro Notomista
Siddharth Mayya
S. Hutchinson
M. Egerstedt
15
57
0
20 Mar 2019
Control of Multi-Agent Systems with Finite Time Control Barrier
  Certificates and Temporal Logic
Control of Multi-Agent Systems with Finite Time Control Barrier Certificates and Temporal Logic
Mohit Srinivasan
Samuel Coogan
M. Egerstedt
AI4CE
22
76
0
07 Aug 2018
The Lyapunov Neural Network: Adaptive Stability Certification for Safe
  Learning of Dynamical Systems
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems
Spencer M. Richards
Felix Berkenkamp
Andreas Krause
28
227
0
02 Aug 2018
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
152
3,196
0
02 Nov 2010
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