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Development of an Autonomous Indoor Robot for Mapping Applications

  • Michael O'Hara
  • , Kaitlyn Mangano
  • , Gilbert Lai
  • , John Sebastian
  • , Mario Montuori
  • , Arman Molki
  • , Tolga Kaya
  • Sacred Heart University
  • RD
  • Application Marketing Engineer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

This body of research is built around the development of a roaming robot for indoor settings. Quanser's ground robotics system, QBot 2e, was utilized to map parts of a room along with collecting temperature and light intensity data while automatically navigating around various obstacles. Our research includes characterization of drift in obstacle mapping, heading correction, integration of sensors, and pathfinding. The models used were implemented in MATLAB and Simulink using QUARC and run on an onboard Raspberry Pi in the QBot 2e.

Original languageEnglish
Title of host publication7th International Conference on Engineering and Emerging Technologies, ICEET 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665427142
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event7th International Conference on Engineering and Emerging Technologies, ICEET 2021 - Istanbul, Turkey
Duration: 27 Oct 2021 → 28 Oct 2021

Publication series

Name7th International Conference on Engineering and Emerging Technologies, ICEET 2021

Conference

Conference7th International Conference on Engineering and Emerging Technologies, ICEET 2021
Country/TerritoryTurkey
CityIstanbul
Period27/10/21 → 28/10/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Autonomous operations
  • Ground robots
  • MATLAB
  • Simulink

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