Abstract
Robotic swarms are a promising tool for exploring the fundamental physics of active matter. In these designed systems, large assemblies of simple robots exhibit versatile dynamical behavior and a broad range of collective phenomena. However, extracting detailed statistical data for the behavior of large-scale robotic ensembles remains challenging due to the amount of measurements required and the need for computational resources for processing. In this paper, we introduce an experimental setup based on a robotic swarm complete with the necessary hardware and software platforms. Performing extensive experiments and extracting detailed kinematic information, we reveal a rich set of spatial correlations in stochastic robotic ensembles on the friction between individual robots and their packing density.
Original language | English |
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Title of host publication | 2021 International Conference Engineering and Telecommunication, En and T 2021 |
Place of Publication | U. S. A. |
Publisher | IEEE |
ISBN (Electronic) | 9781728183909 |
DOIs | |
Publication status | E-pub ahead of print - 24 Jan 2022 |
Event | 2021 International Conference Engineering and Telecommunication, En and T 2021 - Dolgoprudny, Russian Federation Duration: 24 Nov 2021 → 25 Nov 2021 |
Publication series
Name | 2021 International Conference Engineering and Telecommunication, En and T 2021 |
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Conference
Conference | 2021 International Conference Engineering and Telecommunication, En and T 2021 |
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Country/Territory | Russian Federation |
City | Dolgoprudny |
Period | 24/11/21 → 25/11/21 |
Bibliographical note
Funding Information:We acknowledge valuable discussions with Egor Kretov, Georgy Gritsenko, and Daria Petrova. The research was sup- ported by the Russian Science Foundation (project 20-19-00491).
Funding
We acknowledge valuable discussions with Egor Kretov, Georgy Gritsenko, and Daria Petrova. The research was sup- ported by the Russian Science Foundation (project 20-19-00491).
Keywords
- Active Matter
- Object Tracking
- Phase Transitions
- Self-Organization
- Swarm Robotics
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Signal Processing
- Aerospace Engineering
- Electrical and Electronic Engineering
- Instrumentation