Bacteria-inspired robotic propulsion from bundling of soft helical filaments at low Reynolds number
Sangmin Lim, Achyuta Yadunandan, Mohammad Khalid Jawed

TL;DR
This paper introduces a soft robotic platform inspired by bacteria, modeling flagella bundling at low Reynolds number through experiments and simulations to understand propulsion mechanisms.
Contribution
It presents a novel soft robotic system and a computational framework that accurately simulate flagella bundling and propulsion physics at low Reynolds number.
Findings
Simulation matches experimental results
Bundling enhances propulsion efficiency
Propulsion depends nonlinearly on flagella rotation speed
Abstract
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 researchers, and significant advances were made in physical models and experimental methods. Contributing to the field of research, we present a bacteria-inspired centimeter-scale soft robotic hardware platform and a computational framework for a physically plausible simulation model of the multi-flagellated robot under low Reynolds number (~0.1). The fluid-structure interaction simulation couples the Discrete Elastic Rods algorithm with the method of Regularized Stokeslet Segments. Contact between two flagella is handled by a penalty-based method. We present a comparison between our experimental and simulation results and verify that the simulation tool can…
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Taxonomy
TopicsMicro and Nano Robotics · Orbital Angular Momentum in Optics · Characterization and Applications of Magnetic Nanoparticles
