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Bibliographic Details
Main Authors: Ramos, David Garzón, Birattari, Mauro
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2404.18221
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author Ramos, David Garzón
Birattari, Mauro
author_facet Ramos, David Garzón
Birattari, Mauro
contents Automatic design is a promising approach to realizing robot swarms. Given a mission to be performed by the swarm, an automatic method produces the required control software for the individual robots. Automatic design has concentrated on missions that a swarm can execute independently, interacting only with a static environment and without the involvement of other active entities. In this paper, we investigate the design of robot swarms that perform their mission by interacting with other robots that populate their environment. We frame our research within robot shepherding: the problem of using a small group of robots, the shepherds, to coordinate a relatively larger group, the sheep. In our study, the group of shepherds is the swarm that is automatically designed, and the sheep are pre-programmed robots that populate its environment. We use automatic modular design and neuroevolution to produce the control software for the swarm of shepherds to coordinate the sheep. We show that automatic design can leverage mission-specific interaction strategies to enable an effective coordination between the two groups.
format Preprint
id arxiv_https___arxiv_org_abs_2404_18221
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Automatically designing robot swarms in environments populated by other robots: an experiment in robot shepherding
Ramos, David Garzón
Birattari, Mauro
Robotics
Automatic design is a promising approach to realizing robot swarms. Given a mission to be performed by the swarm, an automatic method produces the required control software for the individual robots. Automatic design has concentrated on missions that a swarm can execute independently, interacting only with a static environment and without the involvement of other active entities. In this paper, we investigate the design of robot swarms that perform their mission by interacting with other robots that populate their environment. We frame our research within robot shepherding: the problem of using a small group of robots, the shepherds, to coordinate a relatively larger group, the sheep. In our study, the group of shepherds is the swarm that is automatically designed, and the sheep are pre-programmed robots that populate its environment. We use automatic modular design and neuroevolution to produce the control software for the swarm of shepherds to coordinate the sheep. We show that automatic design can leverage mission-specific interaction strategies to enable an effective coordination between the two groups.
title Automatically designing robot swarms in environments populated by other robots: an experiment in robot shepherding
topic Robotics
url https://arxiv.org/abs/2404.18221