SLAM-DRLnav: A SLAM-Enhanced Deep Reinforcement Learning Navigation Framework for Indoor Self-driving-Reference-Cited by-同舟云学术

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SLAM-DRLnav: A SLAM-Enhanced Deep Reinforcement Learning Navigation Framework for Indoor Self-driving

Published:2023-02-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Mechatronics, Control and Robotics (ICMCR)
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Author:

Nam Seunghyeop¹,Woo Changseok¹,Kang Sinkyu¹,Nguyen Tuan Anh²,Min Dugki³

Affiliation:

1. Konkuk University,College of Engineering,Department of Computer Science and Engineering,Seoul,South Korea,05029

2. Konkuk University,Konkuk Aerospace Design-Airworthiness Institute (KADA),Seoul,South Korea,05029

3. Konkuk University,Graduate School,Department of Artificial Intelligence,Seoul,South Korea,05029

Funder

National Research Foundation of Korea

Korea Institute for Advancement of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10180903/10181028/10181042.pdf?arnumber=10181042

Reference8 articles.

1. A Development of Mobile Robot Based on ROS2 for Navigation Application

2. Turtlebot 3 as a robotics education platform;amsters;International Conference on Robotics in Education (RiE),2019

3. iADA*-RL: Anytime Graph-Based Path Planning with Deep Reinforcement Learning for an Autonomous UAV

4. Xavier: A robot navigation architecture based on partially observable markov decision process models;koenig;Artificial Intelligence Based Mobile Robotics Case Studies of Successful Robot Systems,1998

5. Deep reinforcement learning based mobile robot navigation: A review

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