Development of an Autonomous Intelligent Mobile Robot Based on AI and SLAM Technology

Ha Nguyen-Xuan, Tung Ngo-Thanh, Huy Nguyen-Van

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper describes the development of an autonomous intelligent mobile robot. By using a multi-layer sensor fusion, an algorithm which is the combination of the SLAM algorithm and the bubble rebound algorithm is presented. The algorithm allows the robot to perform navigation tasks more efficient. Furthermore, the robot is integrated with artificial intelligence applications including the object detection and the voice processing. All of algorithms and models are so efficient that they can be deployed on a limited-resource embedded computer offering many potential applications.

Original languageEnglish
Title of host publicationIntelligent Systems and Networks - Selected Articles from ICISN 2021
EditorsDuc-Tan Tran, Gwanggil Jeon, Thi Dieu Nguyen, Joan Lu, Thu-Do Xuan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages319-326
Number of pages8
ISBN (Print)9789811620935
DOIs
Publication statusPublished - 2021
Event1st International Conference on Intelligent Systems and Network, ICISN 2021 - Virtual, Online
Duration: 19 Mar 202120 Mar 2021

Publication series

NameLecture Notes in Networks and Systems
Volume243
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference1st International Conference on Intelligent Systems and Network, ICISN 2021
CityVirtual, Online
Period19/03/2120/03/21

Keywords

  • Artificial intelligence
  • Autonomous intelligent robot
  • Robot operating system
  • Slam

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