A System for Autonomous Seaweed Farm Inspection with an Underwater Robot.

Journal: Sensors (Basel, Switzerland)
Published Date:

Abstract

This paper outlines challenges and opportunities in operating underwater robots (so-called AUVs) on a seaweed farm. The need is driven by an emerging aquaculture industry on the Swedish west coast where large-scale seaweed farms are being developed. In this paper, the operational challenges are described and key technologies in using autonomous systems as a core part of the operation are developed and demonstrated. The paper presents a system and methods for operating an AUV in the seaweed farm, including initial localization of the farm based on a prior estimate and dead-reckoning navigation, and the subsequent scanning of the entire farm. Critical data from sidescan sonars for algorithm development are collected from real environments at a test site in the ocean, and the results are demonstrated in a simulated seaweed farm setup.

Authors

  • Ivan Stenius
    KTH-Royal Institute of Technology, SCI School, 100 44 Stockholm, Sweden.
  • John Folkesson
    KTH-Royal Institute of Technology, EECS School, 100 44 Stockholm, Sweden.
  • Sriharsha Bhat
    KTH-Royal Institute of Technology, SCI School, 100 44 Stockholm, Sweden.
  • Christopher Iliffe Sprague
    KTH-Royal Institute of Technology, EECS School, 100 44 Stockholm, Sweden.
  • Li Ling
    Key Laboratory of Food Quality and Safety of Guangdong Province, College of Food Science, South China Agricultural University, Guangzhou, 510642, China.
  • Özer Özkahraman
    KTH-Royal Institute of Technology, EECS School, 100 44 Stockholm, Sweden.
  • Nils Bore
    KTH-Royal Institute of Technology, EECS School, 100 44 Stockholm, Sweden.
  • Zheng Cong
    KTH-Royal Institute of Technology, EECS School, 100 44 Stockholm, Sweden.
  • Josefine Severholt
    KTH-Royal Institute of Technology, SCI School, 100 44 Stockholm, Sweden.
  • Carl Ljung
    KTH-Royal Institute of Technology, SCI School, 100 44 Stockholm, Sweden.
  • Anna Arnwald
    KTH-Royal Institute of Technology, SCI School, 100 44 Stockholm, Sweden.
  • Ignacio Torroba
    KTH-Royal Institute of Technology, EECS School, 100 44 Stockholm, Sweden.
  • Fredrik Gröndahl
    KTH-Royal Institute of Technology, ABE School, 100 44 Stockholm, Sweden.
  • Jean-Baptiste Thomas
    KTH-Royal Institute of Technology, ABE School, 100 44 Stockholm, Sweden.