Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision-Reference-Cited by-同舟云学术

Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Robotics and Automation (ICRA)
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Author:

Cosner Ryan K.¹,Rodriguez Ivan D. Jimenez¹,Molnar Tamas G.¹,Ubellacker Wyatt¹,Yue Yisong¹,Ames Aaron D.¹,Bouman Katherine L.¹

Affiliation:

1. California Institute of Technology,Computing and Mathematical Sciences,Department of Control and Dynamical Systems, the Department of Mechanical and Civil Engineering,Pasadena,CA,USA,91125

Funder

National Science Foundation CPS

Dow

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9811522/9811357/09812183.pdf?arnumber=9812183

Reference29 articles.

1. Barrier-Certified Adaptive Reinforcement Learning With Applications to Brushbot Navigation

2. Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions

3. Guaranteed Safe Online Learning via Reachability: tracking a ground target using a quadrotor

4. Improving robot navigation through self-supervised online learning

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