Vision-Based Autonomous Navigation Approach for a Tracked Robot Using Deep Reinforcement Learning
Tracked robots need to achieve safe autonomous steering in various changing environments. In this article, a novel end-to-end network architecture is proposed for tracked robots to learn collision-free autonomous navigation through deep reinforcement learning. Specifically, this research improved th...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
|
| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098142899&doi=10.1109%2fJSEN.2020.3016299&partnerID=40&md5=485df683ab0c1b1d1a6d2bb15a4d1b8a http://eprints.utp.edu.my/23687/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|