Elasticity-driven collective motion in active solids and active crystals
Eliseo Ferrante, Ali Emre Turgut, Marco Dorigo, Cristi\'an Huepe

TL;DR
This paper presents a simple model of self-propelled agents connected by springs that self-organize into collective motion, driven by an elasticity-based mechanism, with analytical stability conditions derived for the translating state.
Contribution
It introduces a novel elasticity-driven mechanism for collective motion in active solids, without explicit alignment rules, supported by analytical stability analysis.
Findings
Agents self-organize into collective motion below a noise threshold
Stability conditions for translating states are analytically derived
Elasticity-based mechanism facilitates convergence to collective behavior
Abstract
We introduce a simple model of self-propelled agents connected by linear springs, with no explicit alignment rules. Below a critical noise level, the agents self-organize into a collectively translating or rotating group. We derive analytical stability conditions for the translating state in an elastic sheet approximation. We propose an elasticity-based mechanism that drives convergence to collective motion by cascading self-propulsion energy towards lower-energy modes. Given its simplicity and ubiquity, such mechanism could play a relevant role in various biological and robotic swarms.
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Taxonomy
TopicsModular Robots and Swarm Intelligence · Micro and Nano Robotics · Molecular Communication and Nanonetworks
