Robotics & Machine Learning Daily News2024,Issue(Feb.26) :62-63.DOI:10.3390/jmse12020292

New Robotics Study Findings Recently Were Published by a Researcher at Northwestern Polytechnical University (A Rigid-Flexible Coupling Dynamic Model for Robotic Manta with Flexible Pectoral Fins)

Robotics & Machine Learning Daily News2024,Issue(Feb.26) :62-63.DOI:10.3390/jmse12020292

New Robotics Study Findings Recently Were Published by a Researcher at Northwestern Polytechnical University (A Rigid-Flexible Coupling Dynamic Model for Robotic Manta with Flexible Pectoral Fins)

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Abstract

Investigators publish new report on robotics. According to news originating from Northwestern Polytechnical University by NewsRx editors, the research stated, “The manta ray, exemplifying an agile swimming mode identified as the median and paired fin (MPF) mode, inspired the development of underwater robots. Robotic manta typically comprises a central rigid body and flexible pectoral fins.” Our news journalists obtained a quote from the research from Northwestern Polytechnical University: “Flexible fins provide excellent maneuverability. However, due to the complexity of material mechanics and hydrodynamics, its dynamics are rarely studied, which is crucial for the advanced control of robotic manta (such as trajectory tracking, obstacle avoidance, etc.). In this paper, we develop a multibody dynamic model for our novel manta robot by introducing a pseudo-rigid body (PRB) model to consider passive deformation in the spanwise direction of the pectoral fins while avoiding intricate modeling. In addressing the rigidflexible coupling dynamics between flexible fins and the actuation mechanism, we employ a sequential coupling technique commonly used in fluid-structure interaction (FSI) problems. Numerical examples are provided to validate the MPF mode and demonstrate the effectiveness of the dynamic model. We show that our model performs well in the rigid-flexible coupling analysis of the manta robot.”

Key words

Northwestern Polytechnical University/Emerging Technologies/Machine Learning/Robot/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量35
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