首页|Researchers at University of Notre Dame Target Robotics (Harnessing Flagella Dyn amics for Enhanced Robot Locomotion At Low Reynolds Number)
Researchers at University of Notre Dame Target Robotics (Harnessing Flagella Dyn amics for Enhanced Robot Locomotion At Low Reynolds Number)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news originating from Notre Dame, Indiana, by NewsRx corres pondents, research stated, “Navigating environments with low Reynolds numbers (R e), where viscous forces dominate, presents unique challenges, such as the need for non-reciprocal motion dynamics. Microorganisms like algae and bacteria, with their specialized structures such as asymmetrical and flexible cilia and flagel la, inspire efficient propulsion in such media.” Our news journalists obtained a quote from the research from the University of N otre Dame, “However, the mechanism for enhancing the propulsion speed of these m icroorganisms remains not fully understood. This study introduces a quadriflagel lated, algae-inspired, cable-driven robot that mirrors these biological locomoti on mechanisms. A single DC motor actuates four multi-segmented flagella, modulat ing their stiffness throughout the propulsion cycle. We focus on enhancing propu lsion speed, hypothesizing that strategic flexibility alterations in flagella in creased during the backward stroke and decreased during the forward stroke-signi ficantly improve propulsion speed. Our experimental results confirm this, showin g a marked improvement in propulsion speed, achieving a rate of 0.7 +/- 0.11 cm/ cycle.”
Notre DameIndianaUnited StatesNort h and Central AmericaEmerging TechnologiesMachine LearningRobotRoboticsUniversity of Notre Dame
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