iNAV-drlSLAM: An Improved Indoor Self-Driving Framework for Mobile Robots using Deep Reinforcement Learning integrated with SLAM

We introduce a new navigation framework for mobile robots that combines Simultaneous Localization and Mapping (SLAM) and deep reinforcement learning (DRL) techniques. While SLAM algorithms are effective at mapping and navigating through the environment, they struggle to avoid dynamic obstacles and c...

Full description

Bibliographic Details

Published in:	2023 15th International Conference on Advanced Computational Intelligence (ICACI) pp. 1 - 8
Main Authors:	Nam, Seunghyeop, Woo, Changseok, Kang, Sinkyu, Nguyen, Tuan Anh, Min, Dugki
Format:	Conference Proceeding
Language:	English
Published:	IEEE 06.05.2023
Subjects:	Autonomy Deep learning Deep Reinforcement Learning Heuristic algorithms Indoor Self-navigation Inference algorithms Mobile Robot Navigation Q-learning Scalability Simultaneous localization and mapping
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!