• DocumentCode
    651055
  • Title

    Design of high speed fish-like robot ‘Ichthus V5.7’

  • Author

    Gi-Hun Yang ; Youngsun Ryuh

  • Author_Institution
    Biomimetic Robot Res. Group, Korea Inst. of Ind. Technol., Ansan, South Korea
  • fYear
    2013
  • fDate
    Oct. 30 2013-Nov. 2 2013
  • Firstpage
    451
  • Lastpage
    453
  • Abstract
    Until a recent date, bio-inspired robotics has been very challenging issue on robotics area. Among these categories, fish-like underwater robots have been lively investigated, expecting some advantages from mimicking real fish´s great maneuverability and high energy efficiency. On the other hand, there are still diverse problems regarding operation of the robotic fish in the real environment such as in the river or ocean for detecting water pollution. In order to use the robot in the real environment, the robot has to have relatively fast speed to overcome the flow rate of the river. In this paper, we mainly describe development of a robotic fish which can provide faster swimming performance than our previous development. The robotic fish `Ichthus V5.7´ has a 3-DOF serial link-mechanism for its propulsion, 1-DOF for up and down motion with its pectoral fins. Several sensors to navigate autonomously in the real environment like river are embedded. The developed robotic system can be used as an environmental monitoring system for monitoring pollution or quality of river with higher speed.
  • Keywords
    autonomous underwater vehicles; biomimetics; navigation; path planning; propulsion; 3-DOF serial link-mechanism; autonomous navigation; bio-inspired robotics; energy efficiency; environmental monitoring system; fish-like underwater robots; high speed fish-like robot Ichthus V5.7 design; pectoral fins; propulsion; river flow rate; robotic system; sensors; water pollution detection; Bio-inspired Design; Biomimetic; Environmental monitoring; Propulsion; Robotic Fish;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
  • Conference_Location
    Jeju
  • Print_ISBN
    978-1-4799-1195-0
  • Type

    conf

  • DOI
    10.1109/URAI.2013.6677308
  • Filename
    6677308