Tracking trajectory control of dual-eyes visual-based underwater vehicle

Naoki Mukada, Kenta Yonemori, Myo Myint, Khin Nwe Lwin, Akira Yanou, Mamoru Minami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nowadays, a variety of robots have been studied and developed for undersea exploration. The purpose of undersea exploration is to retrieve resources such as methane hydrate rare metal from bottom of sea. The ability for underwater vehicle to recharge batteries automatically in the sea is vital function so that the vehicle achieves the required tasks with long duration time, raising next technical problems of how the guide the vehicle to the recharging station and how to avert surrounding hazardous environment. One approach to solve the problem is to control the vehicle's trajectory by using visual information. This paper proposes a method to guide a vehicle to desired trajectory with dual-eye visual feedback, which utilizes inverse Jacobian matrix to generate desired trajectory in the underwater space. The experimental results show that the proposed control scheme is effective to have the vehicle follow the desired trajectories.

Original languageEnglish
Title of host publicationSII 2016 - 2016 IEEE/SICE International Symposium on System Integration
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages748-755
Number of pages8
ISBN (Electronic)9781509033294
DOIs
Publication statusPublished - Feb 6 2017
Event2016 IEEE/SICE International Symposium on System Integration, SII 2016 - Sapporo, Japan
Duration: Dec 13 2016Dec 15 2016

Other

Other2016 IEEE/SICE International Symposium on System Integration, SII 2016
CountryJapan
CitySapporo
Period12/13/1612/15/16

ASJC Scopus subject areas

  • Biomedical Engineering
  • Control and Systems Engineering
  • Mechanical Engineering
  • Artificial Intelligence
  • Hardware and Architecture
  • Control and Optimization

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  • Cite this

    Mukada, N., Yonemori, K., Myint, M., Lwin, K. N., Yanou, A., & Minami, M. (2017). Tracking trajectory control of dual-eyes visual-based underwater vehicle. In SII 2016 - 2016 IEEE/SICE International Symposium on System Integration (pp. 748-755). [7844089] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SII.2016.7844089