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...

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Bibliographic Details
Main Authors: Ejaz, M.M., Tang, T.B., Lu, C.-K.
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/
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