Design, Development, and Fabrication of a Low Cost Remotely Operated Unmanned Underwater Vehicle

Syed Imtiaz Ali Shah, Masroor Khan, Sarvat M. Ahmad

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

1 Scopus citations

Abstract

The article presents the design, development and fabrication of a low cost tethered Remotely Operated Unmanned Underwater Vehicle (ROV-I) capable of operating up-to 1 m/sec with a depth rating of 20 meters. ROV-I comprises of many mechanical (open frame and hull) and electro-mechanical subsystems such as: thrusters, on-board data acquisition system, communication protocol, power management and underwater electrical wires/tether management systems. A dual core processor from Texas Instrument acts as a master computer to control the vehicle and its subsystems. The 3 degrees-of-freedom ROV-I is also equipped with multiple sensors which provide real-time vehicle's states information. A full duplex RS485 communication protocol is used to transmit and receive data. A dedicated laptop with a GUI act as a ground station, displaying important vehicle states in real-time as well as able to send pilot command signals to actuators.

Original languageEnglish
Title of host publication2021 International Conference on Robotics and Automation in Industry, ICRAI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665423434
DOIs
StatePublished - 2021
Externally publishedYes
Event4th International Conference on Robotics and Automation in Industry, ICRAI 2021 - Rawalpindi, Pakistan
Duration: 26 Oct 202127 Oct 2021

Publication series

Name2021 International Conference on Robotics and Automation in Industry, ICRAI 2021

Conference

Conference4th International Conference on Robotics and Automation in Industry, ICRAI 2021
Country/TerritoryPakistan
CityRawalpindi
Period26/10/2127/10/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Design
  • Development
  • ROV
  • Unmanned underwater vehicle

ASJC Scopus subject areas

  • Artificial Intelligence
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering
  • Control and Optimization

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