• Title/Summary/Keyword: 자연모사로봇

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Experimental Study on Rolling Stability of Quadruped and Hexapedal Water Running Robots (4족과 6족 보행을 하는 수면 주행 로봇의 안정성 실험 연구)

  • Kim, HyunGyu;Kim, Jung Hyun;Seo, ByungHoon;Seo, TaeWon
    • Journal of the Korean Society for Precision Engineering
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    • v.30 no.10
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    • pp.1023-1029
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    • 2013
  • Water running animals such as basilisk lizards have an advantage of high-speed movement and high power efficiency on water; so researchers in robotic fields have been interested in the water running locomotion. This paper presents prototype-design and experimental study on the fourand six-legged water running robot. Based on the previously proposed quadruped water running robot, we assemble a hexapedal water running robot. The legs of the water running robot are designed based on four-bar parallel link for repeated motion along to pre-defined path. Stability performance of the quadruped and hexapedal water running robot are investigated by experiments on rolling criterion. As a result, hexapedal robot performs better stability than quadruped robot. Based on the hexapedal robot design, we are planning to optimize the position of legs and operating frequency.

Sensor technology for environmental monitoring of shrimp farming (새우양식 환경 모니터링을 위한 센서기술 동향 분석)

  • Hur, Shin;Park, Jung Ho;Choi, Sang Kyu;Lee, Chang Won;Kim, Ju Wan
    • Journal of Sensor Science and Technology
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    • v.30 no.3
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    • pp.154-164
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    • 2021
  • In this study, the IoT sensor technology required for improving the survival rate and high-density productivity of individual shrimp in smart shrimp farming (which involves the usage of recirculating aquaculture systems and biofloc technology) was analyzed. The principles and performances of domestic and overseas water quality monitoring IoT sensors were compared. Furthermore, the drawbacks of existing aquaculture monitoring technologies and the countermeasures for future aquaculture monitoring technologies were examined. In particular, for farming white-legged shrimp, an IoT sensor was employed to collect measurement indicators for managing the water quality environment in real-time, and the IoT sensor-based real-time monitoring technology was then analyzed for implementing the optimal farming environment. The results obtained from this study can potentially contribute to the realization of an autonomous farming platform that can improve the survival rate and productivity of shrimp, achieve feed reduction, improve the water quality environment, and save energy.