Adaptive Robot Traversability Estimation Based on Self-Supervised Online Continual Learning in Unstructured Environments-Reference-Cited by-同舟云学术

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Adaptive Robot Traversability Estimation Based on Self-Supervised Online Continual Learning in Unstructured Environments

Published:2024-06 Issue:6 Volume:9 Page:4902-4909
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Yoon Hyung-Suk¹^ORCID,Hwang Ji-Hoon¹^ORCID,Kim Chan¹^ORCID,Son E In¹^ORCID,Yoo Se-Wook¹^ORCID,Seo Seung-Woo¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering and ASRI, Seoul National University, Seoul, South Korea

Funder

Automation and Systems Research Institute

Education and Research Program for Future ICT Pioneers, Seoul National University in 2024

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10504377/10494895.pdf?arnumber=10494895

Reference40 articles.

1. How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability

2. Navigation planning for legged robots in challenging terrain

3. ScaTE: A Scalable Framework for Self- Supervised Traversability Estimation in Unstructured Environments

4. BADGR: An Autonomous Self-Supervised Learning-Based Navigation System

5. Self-Supervised Visual Terrain Classification From Unsupervised Acoustic Feature Learning

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