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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 -
Subtitle of host publicationSelected Articles from ICISN 2021
EditorsDuc-Tan Tran, Gwanggil Jeon, Thi Dieu Linh Nguyen, Joan Lu, Thu-Do Xuan
Place of PublicationVietnam
PublisherSpringer Science and Business Media Deutschland GmbH
Pages319-326
Number of pages8
DOIs
Publication statusPublished - 13 May 2021
Externally publishedYes
Event1st International Conference on Intelligent Systems and Network, ICISN 2021 - Virtual, Online
Duration: 19 Mar 2021 → 20 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
Period19/03/21 → 20/03/21

Keywords

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

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