• DocumentCode
    2775482
  • Title

    Introduction to an AUV "r2D4" and its Kuroshima Knoll Survey Mission

  • Author

    Ura, Tamaki ; Obara, Takashi ; Nagahashi, Kenji ; Kim, Kangsoo ; Oyabu, Yuji ; Sakamaki, Takashi ; Asada, Akira ; Koyama, Hisashi

  • Author_Institution
    Inst. of Ind. Sci., Tokyo Univ., Japan
  • Volume
    2
  • fYear
    2004
  • fDate
    9-12 Nov. 2004
  • Firstpage
    840
  • Abstract
    In this paper, a newly developed AUV "r2D4" is introduced and its mission of surveying Kuroshima Knoll is addressed. As the successor of the AUV "R-One Robot", r2D4 was designed by IIS, the University of Tokyo, and constructed by MES, with the primary missions being the investigation of deep sea bottom and AUV intelligence. r2D4 is a highly reliable AUV with its length of 4.4 (m), demonstrating sufficient compactness as well as multifunctional capabilities and large maximum operating depth of 4000 (m). The first sea trial of r2D4 was carried out at Suruga Bay, July 2003. After the exploration off Sado Island in the Sea of Japan, r2D4 was deployed for the investigation of Kuroshima Knoll in December 2003. During Kuroshima mission, high quality acoustic images of seabed using interferometry sonar were obtained through the operation of r2D4, which could only be achieved by accurate and robust attitude control. The method of on-site position error correction was developed and testified during the Kuroshima Knoll mission. In this correction, based on the optimal estimation of SSBL position, regressions of actual vehicle trajectories are carried out to estimate the deviation between reference and actually formed way points. On the basis of the success in Kuroshima Knoll survey mission, r2D4 would be deployed in Mariana back-arc basin, toward the discovery of newly activated hydrothermal vents.
  • Keywords
    interferometry; oceanographic equipment; oceanographic regions; robots; robust control; seafloor phenomena; sonar imaging; underwater vehicles; AD 2003 07 to 12; AUV intelligence; AUV r2D4/R-One Robot; Autonomous Underwater vehicle; IIS; Kuroshima Knoll Survey Mission; MES; Mariana back-arc basin; SSBL position optimal estimation; Sado Island; Sea of Japan; Suruga Bay; University of Tokyo; deep sea bottom investigation; hydrothermal vent; interferometry sonar; on-site position error correction method; robust attitude control; seabed acoustic image; vehicle trajectory regression; Acoustic testing; Chemicals; Error correction; Intelligent robots; Interferometry; Oceans; Robust control; Sonar navigation; Vehicles; Vents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS '04. MTTS/IEEE TECHNO-OCEAN '04
  • Print_ISBN
    0-7803-8669-8
  • Type

    conf

  • DOI
    10.1109/OCEANS.2004.1405568
  • Filename
    1405568