Vision-Based Autonomous Navigation Approach for a Tracked Robot Using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Vision-Based Autonomous Navigation Approach for a Tracked Robot Using Deep Reinforcement Learning

Published:2021-01-15 Issue:2 Volume:21 Page:2230-2240
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Ejaz Muhammad Mudassir^ORCID,Tang Tong Boon^ORCID,Lu Cheng-Kai^ORCID

Funder

YUTP-Fundamental Research Grant

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9298186/09166560.pdf?arnumber=9166560

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A deep residual reinforcement learning algorithm based on Soft Actor-Critic for autonomous navigation;Expert Systems with Applications;2025-01

2. Autonomous Traversing across Floors Based on Vision for Reconfigurable Tracked Robot;2023 8th International Conference on Control, Robotics and Cybernetics (CRC);2024-12-22

3. Adaptive control for circulating cooling water system using deep reinforcement learning;PLOS ONE;2024-07-24

4. Generalization Enhancement of Visual Reinforcement Learning through Internal States;Sensors;2024-07-12

5. Steering control of electric tracked vehicle based on second-order disturbance observer and multiobjective optimization;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-04-23

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