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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp018623j2025
Title: Buckling-mediated physical intelligence in elasto-active matter
Authors: Huang, Richard
Advisors: Brun, Pierre-Thomas
Department: Chemical and Biological Engineering
Certificate Program: Materials Science and Engineering Program
Class Year: 2023
Abstract: Existing work in models of active matter suggests the ability of multiple coordinating self-propelled particles to display collective behaviors when connected by elastic components. In this work, we introduce an implementation of an elasto-active solid consisting of model active particles connected by thin elastic beams. The mechanics underlying the behaviors of this system are characterized by a theory of motion, experiments, and numerical simulations. One such behavior discovered in a system of two particles connected by a beam is wall-following. State-of-the-art soft robotic devices often rely on complex systems and specially-designed materials to navigate unstructured, complex environments. With our work, we find our system is an adaptable, physical implementation of a maze-solving algorithm reliant on material mechanics and beam properties and useful for autonomous navigation. This mechanism of navigation has the potential for use in soft robots with elastic components that are applied to navigation tasks like exploring aquatic environments.
URI: http://arks.princeton.edu/ark:/88435/dsp018623j2025
Type of Material: Princeton University Senior Theses
Language: en
Appears in Collections:Chemical and Biological Engineering, 1931-2023

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