• Title/Summary/Keyword: fish type robot

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Development of Swimming Mechanism and Algorithm for Fish-Type Underwater Robot(1) (물고기형 수중로봇의 유영메커니즘 및 알고리즘 개발(1))

  • Ryuh, Young-Sun
    • The Journal of Korea Robotics Society
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    • v.4 no.1
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    • pp.43-48
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    • 2009
  • Generally, underwater vehicle type of propeller shows low efficiency about 50%-55%. However, the efficiency of swimming mechanism of a fish is 60%-70%, more efficient about 20% than screw propellers. Recently, research of underwater vehicle type of fish increase due to its good efficiency and is regarded as a typical bio-mimical robot. In this research, a new algorithm and mechanism that show low energy consumption imitating swimming mechanism of fish proposed increasing speed and running time in field trial.

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A Study on Optimization of Motion Parameters and Dynamic Analysis for 3-D.O.F Fish Robot (3 자유도 물고기 로봇의 동적해석 및 운동파라미터 최적화에 관한 연구)

  • Kim, Hyoung-Seok;Quan, Vo Tuong;Lee, Byung-Ryong;Yu, Ho-Yeong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.33 no.10
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    • pp.1029-1037
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    • 2009
  • Recently, the technologies of mobile robots have been growing rapidly in the fields such as cleaning robot, explosive ordnance disposal robot, patrol robot, etc. However, the researches about the autonomous underwater robots have not been done so much, and they still remain at the low level of technology. This paper describes a model of 3-joint (4 links) fish robot type. Then we calculate the dynamic motion equation of this fish robot and use Singular Value Decomposition (SVD) method to reduce the divergence of fish robot's motion when it operates in the underwater environment. And also, we analysis response characteristic of fish robot according to the parameters of input torque function and compare characteristic of fish robot with 3 joint and fish robot with 2 joint. Next, fish robot's maximum velocity is optimized by using the combination of Hill Climbing Algorithm (HCA) and Genetic Algorithm (GA). HCA is used to generate the good initial population for GA and then use GA is used to find the optimal parameters set that give maximum propulsion power in order to make fish robot swim at the fastest velocity.