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Bibliographic Details
Main Authors: Stolfi, Daniel H., Danoy, Grégoire
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2401.16948
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author Stolfi, Daniel H.
Danoy, Grégoire
author_facet Stolfi, Daniel H.
Danoy, Grégoire
contents We present a new plug-in for the ARGoS swarm robotic simulator to implement the Crazyflie drone, including its controllers, sensors, and some expansion decks. We have based our development on the former Spiri drone, upgrading the position controller, adding a new speed controller, LED ring, onboard camera, and battery discharge model. We have compared this new plug-in in terms of accuracy and efficiency with data obtained from real Crazyflie drones. All our experiments showed that the proposed plug-in worked well, presenting high levels of accuracy. We believe that this is an important contribution to robot simulations which will extend ARGoS capabilities through the use of our proposed, open-source plug-in.
format Preprint
id arxiv_https___arxiv_org_abs_2401_16948
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle An ARGoS plug-in for the Crazyflie drone
Stolfi, Daniel H.
Danoy, Grégoire
Robotics
We present a new plug-in for the ARGoS swarm robotic simulator to implement the Crazyflie drone, including its controllers, sensors, and some expansion decks. We have based our development on the former Spiri drone, upgrading the position controller, adding a new speed controller, LED ring, onboard camera, and battery discharge model. We have compared this new plug-in in terms of accuracy and efficiency with data obtained from real Crazyflie drones. All our experiments showed that the proposed plug-in worked well, presenting high levels of accuracy. We believe that this is an important contribution to robot simulations which will extend ARGoS capabilities through the use of our proposed, open-source plug-in.
title An ARGoS plug-in for the Crazyflie drone
topic Robotics
url https://arxiv.org/abs/2401.16948