2P2-H03 Development of Micro Fish Robots Moved by Magnetic Actuators or Artificial Muscles

Takada, Yogo; Araki, Ryosuke; Yamaguchi, Akifumi; Nakanishi, Yukinobu; Wakisaka, Tomoyuki

doi:10.1299/jsmermd.2008._2p2-h03_1

Cited by 2 publications

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“…investigated the swimming number of a propulsion mechanism with oscillating wings, and Takada et al. experimentally examined the swimming number of fish robots driven by magnetic actuators and artificial muscles . Yu et al.…”

Section: Introductionmentioning

confidence: 99%

“…Barrett et al subsequently proposed a traveling wave equation (below referred to as the TW equation) including a sine wave and a quadratic term, and demon-strated its effectiveness by applying it to the Robotuna fish robot [3]. Watanabe et al investigated the swimming number of a propulsion mechanism with oscillating wings, and Takada et al experimentally examined the swimming number of fish robots driven by magnetic actuators and artificial muscles [4,5]. Yu et al performed a dynamic analysis of four-linked fish robots in an attempt to control a robot's swimming trajectory, and proposed optimal link length ratios for the TW equation of fish robot [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Control of Balloon Fish Robot Based on Traveling Wave Equation

Hashimoto

Uchida

2015

Elect Comm in Japan

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SUMMARY Fish have excellent swimming ability underwater. Airship robots capable of performing low‐speed, low‐altitude flight with low energy have been investigated. Airship robots that perform “swimming in the air” in a manner similar to aquatic organisms by combining these features have been investigated and developed. The BFR (Balloon Fish Robot) is one such of type of robot. This paper deals with the simulated motion of the BFR and parameter optimization for the propulsion efficiency of an aquatic organism‐like airship robot propelled by traveling waves. The controlling expression of the BFR is written as a traveling‐wave equation. The equations of motion are defined by means of the controlling expression and the drag force. Comparative simulation and experimental investigation of the forward air speed of the BFR were used to evaluate its validity. The highest propulsion efficiency parameter was investigated by calculating using the experimental air speed, the maximum amplitude of the tail fin, and the traveling‐wave frequency.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Control of Balloon Fish Robot Based on Traveling Wave Equation

Hashimoto

Uchida

2015

Elect Comm in Japan

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Control of Balloon Fish Robot Based on Traveling Wave Equation

Hashimoto

Uchida

2014

IEEJ Trans.EIS

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A fish has excellent swimming ability in underwater. An airship robot capable of performing a low-speed, low-altitude flying low energy has been researched. Aquatic organism type airship robot "swimming in the air" combines these features have been researched and developed. BFR (Balloon Fish Robot) is one of this type robots. This paper is concerned with the simulation motion of BFR and parameter optimization for the propulsion efficiency of the aquatic organism type airship robot propelled by Traveling Wave. The controlling expression of BFR is written by Traveling-Wave Equation. And the equation of motion is defined through the controlling expression and drag force. The comparative experiments on forward air speed of the BFR of simulation and experiment evaluated the validity. The highest propulsion efficiency parameter is investigated by calculating using the experimental air speed and the maximum amplitude of the tail fin and Traveling-Wave frequency.

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2P2-H03 Development of Micro Fish Robots Moved by Magnetic Actuators or Artificial Muscles

Cited by 2 publications

References 0 publications

Control of Balloon Fish Robot Based on Traveling Wave Equation

Control of Balloon Fish Robot Based on Traveling Wave Equation

Control of Balloon Fish Robot Based on Traveling Wave Equation

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