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Safe Output Feedback Motion Planning from Images via Learned Perception
  Modules and Contraction Theory
v1v2 (latest)

Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory

14 June 2022
Glen Chou
N. Ozay
Dmitry Berenson
ArXiv (abs)PDFHTML

Papers citing "Safe Output Feedback Motion Planning from Images via Learned Perception Modules and Contraction Theory"

10 / 10 papers shown
Title
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
Anushri Dixit
Zhiting Mei
Meghan Booker
Mariko Storey-Matsutani
Mariko Storey-Matsutani
Allen Z. Ren
Ola Shorinwa
Anirudha Majumdar
198
7
0
13 Mar 2024
Model Error Propagation via Learned Contraction Metrics for Safe
  Feedback Motion Planning of Unknown Systems
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems
Glen Chou
N. Ozay
Dmitry Berenson
89
25
0
18 Apr 2021
How to Train Your Differentiable Filter
How to Train Your Differentiable Filter
Alina Kloss
Georg Martius
Jeannette Bohg
105
47
0
28 Dec 2020
Learning Certified Control using Contraction Metric
Learning Certified Control using Contraction Metric
Dawei Sun
Susmit Jha
Chuchu Fan
58
76
0
25 Nov 2020
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust
  Control Barrier Functions
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions
Sarah Dean
Andrew J. Taylor
Ryan K. Cosner
Benjamin Recht
Aaron D. Ames
76
86
0
30 Oct 2020
Planning with Learned Dynamics: Probabilistic Guarantees on Safety and
  Reachability via Lipschitz Constants
Planning with Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants
Craig Knuth
Glen Chou
N. Ozay
Dmitry Berenson
65
33
0
18 Oct 2020
Neural Contraction Metrics for Robust Estimation and Control: A Convex
  Optimization Approach
Neural Contraction Metrics for Robust Estimation and Control: A Convex Optimization Approach
Hiroyasu Tsukamoto
Soon-Jo Chung
41
57
0
08 Jun 2020
Probably Approximately Correct Vision-Based Planning using Motion
  Primitives
Probably Approximately Correct Vision-Based Planning using Motion Primitives
Sushant Veer
Anirudha Majumdar
3DV
56
21
0
28 Feb 2020
TEASER: Fast and Certifiable Point Cloud Registration
TEASER: Fast and Certifiable Point Cloud Registration
Heng Yang
Jingang Shi
Luca Carlone
3DPC
198
667
0
21 Jan 2020
Evaluating the Robustness of Neural Networks: An Extreme Value Theory
  Approach
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng
Huan Zhang
Pin-Yu Chen
Jinfeng Yi
D. Su
Yupeng Gao
Cho-Jui Hsieh
Luca Daniel
AAML
83
468
0
31 Jan 2018
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