Autonomous Navigation for Exploration of Unknown Environments and Collision Avoidance in Mobile Robots Using Reinforcement Learning-Reference-Cited by-同舟云学术

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Autonomous Navigation for Exploration of Unknown Environments and Collision Avoidance in Mobile Robots Using Reinforcement Learning

Published:2019-04 Issue: Volume: Page:
ISSN:
Container-title:2019 SoutheastCon
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Author:

Cardona G. A.,Bravo C.,Quesada W.,Ruiz D.,Obeng M.,Wu X.,Calderon J. M.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8999010/9020282/09020521.pdf?arnumber=9020521

Cited by 10 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 Comprehensive Review of Recent Advances in Automated Guided Vehicle Technologies: Dynamic Obstacle Avoidance in Complex Environment Toward Autonomous Capability;IEEE Transactions on Instrumentation and Measurement;2024

2. Fast Self-Alignment and Self-Calibration Method for Rotational Inertial Navigation System Based on Environment Function Matrix;IEEE Transactions on Instrumentation and Measurement;2024

3. Deep Reinforcement Learning for Mobile Robots: Overview and Issues;Lecture Notes in Networks and Systems;2024

4. Human-Guided Transfer Learning for Autonomous Robot;Communications in Computer and Information Science;2023-11-13

5. Bio-inspired Decentralized Multi-robot Exploration in Unknown Environments;2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS);2023-09-25

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