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相关论文: Modeling, Characterization, and Control of Bacteri…

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We create a mechanism inspired by bacterial swimmers, featuring two flexible flagella with individual control over rotation speed and direction in viscous fluid environments. Using readily available materials, we design and fabricate…

机器人学 · 计算机科学 2024-05-07 Zhuonan Hao , Siddharth Zalavadia , Mohammad Khalid Jawed

The bundling of flagella is known to create a "run" phase, where the bacteria moves in a nearly straight line rather than making changes in direction. Historically, mechanical explanations for the bundling phenomenon intrigued many…

机器人学 · 计算机科学 2023-10-17 Sangmin Lim , Achyuta Yadunandan , Mohammad Khalid Jawed

In this paper, we analyze the inverse dynamics and control of a bacteria-inspired uniflagellar robot in a fluid medium at low Reynolds number. Inspired by the mechanism behind the locomotion of flagellated bacteria, we consider a robot…

机器人学 · 计算机科学 2020-12-22 Mojtaba Forghani , Weicheng Huang , M. Khalid Jawed

Run-and-tumble (RT) motion is commonly observed in flagellated microswimmers, arising from synchronous and asynchronous flagellar beating. One such example is a biflagellated alga, called \textit{Chlamydomonas reinhardtii}. Its flagellar…

软凝聚态物质 · 物理学 2025-10-17 Somnath Paramanick , Umashankar Pardhi , Harsh Soni , Nitin Kumar

A wide range of microorganisms, e.g. bacteria, propel themselves by rotation of soft helical tails, also known as flagella. Due to the small size of these organisms, viscous forces overwhelm inertial effects and the flow is at low Reynolds…

机器人学 · 计算机科学 2021-03-11 Yayun Du , Andrew Miller , Mohammad Khalid Jawed

Microorganisms such as algae and bacteria move in a viscous environment with extremely low Reynolds ($Re$), where the viscous drag dominates the inertial forces. They have adapted to this environment by developing specialized features such…

机器人学 · 计算机科学 2024-12-10 Nnamdi Chikere , Yasemin Ozkan-Aydin

We explore the locomotion of soft robots in granular medium (GM) resulting from the elastic deformation of slender rods. A low-cost, rapidly fabricable robot inspired by the physiological structure of bacteria is presented. It consists of a…

机器人学 · 计算机科学 2021-12-30 Yayun Du , Andrew Miller , M. Khalid Jawed

Traditional locomotion strategies become ineffective at low Reynolds numbers, where viscous forces predominate over inertial forces. To adapt, microorganisms have evolved specialized structures like cilia and flagella for efficient…

机器人学 · 计算机科学 2024-12-10 Nnamdi C. Chikere , Sofia Lozano Voticky , Quang D. Tran , Yasemin Ozkan-Aydin

Peritrichous bacteria swim in viscous fluids by rotating multiple helical flagellar filaments. As the bacterium swims forward, all its flagella rotate in synchrony behind the cell in a helical bundle. When the bacterium changes its…

流体动力学 · 物理学 2017-11-16 Yi Man , William Page , Robert J. Poole , Eric Lauga

Many types of bacteria swim by rotating a bundle of helical filaments also called flagella. Each filament is driven by a rotary motor and a very flexible hook transmits the motor torque to the filament. We model it by discretizing…

生物物理 · 物理学 2012-01-04 Reinhard Vogel , Holger Stark

Micro-organisms propel themselves in viscous environments by the periodic, nonreciprocal beating of slender appendages known as flagella. Active materials have been widely exploited to mimic this form of locomotion. However, the realization…

软凝聚态物质 · 物理学 2024-08-06 Ariel Surya Boiardi , Giovanni Noselli

Flagellated microorganisms can swim at low Reynolds numbers and adapt to changes in their environment. Specifically, the flagella can switch their shapes or modes through gene expression. In the past decade, efforts have been made to…

机器人学 · 计算机科学 2024-01-02 Liyuan Tan , Yang Yang , Li Fang , David J. Cappelleri

Some types of bacteria use rotating helical flagella to swim. The motion of such organisms takes place in the regime of low Reynolds numbers where viscous effects dominate and where the dynamics is governed by hydrodynamic interactions.…

软凝聚态物质 · 物理学 2007-05-23 M. Reichert , H. Stark

Numerous studies have explored the link between bacterial swimming and the number of flagella, a distinguishing feature of motile multiflagellated bacteria. We revisit this open question using augmented slender-body theory simulations, in…

生物物理 · 物理学 2024-09-04 Maria Tătulea-Codrean , Eric Lauga

The hydrodynamic interactions among bacterial cell bodies, flagella, and surrounding boundaries are essential for understanding bacterial motility in complex environments. In this study, we demonstrate that each slender flagellum can be…

软凝聚态物质 · 物理学 2025-01-07 Baopi Liu , Lu Chen , Ji Zhang

Research on untethered micro-swimming robots is growing fast owing to their potential impact on minimally invasive medical procedures. Candidate propulsion mechanisms of robots are based on flagellar mechanisms of microorganisms such as…

流体动力学 · 物理学 2017-10-20 Ahmet Fatih Tabak , Serhat Yesilyurt

Many bacteria are motile by means of one or more rotating rigid helical flagella, making them the only known organism to use rotation as a means of propulsion. The rotation is supplied by the bacterial flagellar motor, a particularly…

Most motile bacteria swim in viscous fluids by rotating multiple helical flagellar filaments. These semi-rigid filaments repeatedly join ('bundle') and separate ('unbundle'), resulting in a two-gait random walk-like motion of the cell. In…

流体动力学 · 物理学 2020-11-18 Alexander Chamolly , Eric Lauga

Recent advances in microscopy techniques has uncovered unique aspects of flagella-driven motility in bacteria. A remarkable example is the discovery of flagellar wrapping, a phenomenon whereby a bacterium wraps its flagellum (or flagellar…

软凝聚态物质 · 物理学 2025-04-22 Takuro Kataoka , Taiju Yoneda , Daisuke Nakane , Hirofumi Wada

This study systematically investigates the dynamics of the bacterial transition from free-swimming to surface adhesion, a process characterized by both height $h$ and inclination angle $\Psi$. The surface entrapment process is divided into…

软凝聚态物质 · 物理学 2025-06-25 Baopi Liu , Bowen Jin , Ning An
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