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VBOC: Learning the Viability Boundary of a Robot Manipulator using Optimal Control
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VBOC: Learning the Viability Boundary of a Robot Manipulator using Optimal Control

Asia La Rocca
Matteo Saveriano
Andrea Del Prete
ArXiv (abs)PDFHTML

Papers citing "VBOC: Learning the Viability Boundary of a Robot Manipulator using Optimal Control"

4 / 4 papers shown
Title
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning
Kai Hsu
Vicencc Rubies-Royo
Claire Tomlin
J. F. Fisac
72
68
0
23 Dec 2021
Linear model predictive safety certification for learning-based control
Linear model predictive safety certification for learning-based control
K. P. Wabersich
Melanie Zeilinger
43
169
0
22 Mar 2018
Using Neural Networks to Compute Approximate and Guaranteed Feasible Hamilton-Jacobi-Bellman PDE Solutions
Using Neural Networks to Compute Approximate and Guaranteed Feasible Hamilton-Jacobi-Bellman PDE Solutions
Frank J. Jiang
Glen Chou
Mo Chen
Claire Tomlin
54
34
0
10 Nov 2016
Recursive Regression with Neural Networks: Approximating the HJI PDE Solution
Recursive Regression with Neural Networks: Approximating the HJI PDE Solution
Vicencc Rubies-Royo
Claire Tomlin
64
20
0
08 Nov 2016

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