Cargando…

Collaboration and Task Planning of Turtle-Inspired Multiple Amphibious Spherical Robots

Amphibious Spherical Robots (ASRs) use an electric field to communicate and collaborate effectively in a turbid water of confined spaces where other mode communication modalities failed. This paper proposes an embedded architecture formation strategy for a group of turtle-inspired amphibious robots...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Liang, Guo, Shuxiang, Piao, Yan, Gu, Shuoxin, An, Ruochen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019840/
https://www.ncbi.nlm.nih.gov/pubmed/31936534
http://dx.doi.org/10.3390/mi11010071
_version_ 1783497612757827584
author Zheng, Liang
Guo, Shuxiang
Piao, Yan
Gu, Shuoxin
An, Ruochen
author_facet Zheng, Liang
Guo, Shuxiang
Piao, Yan
Gu, Shuoxin
An, Ruochen
author_sort Zheng, Liang
collection PubMed
description Amphibious Spherical Robots (ASRs) use an electric field to communicate and collaborate effectively in a turbid water of confined spaces where other mode communication modalities failed. This paper proposes an embedded architecture formation strategy for a group of turtle-inspired amphibious robots to maintain a long distance-parameterized path based on dynamic visual servoing. Inspired by this biological phenomenon, we design an artificial multi-robot cooperative mode and explore an electronic communication and collaborate devices, the control method is based in particular on underwater environment and also conduct a detailed analysis of control motion module. The objectives of control strategies are divided into four categories: The first strategy is that the leader robot controls the action of the overall robots to maintain collaborate together during motion along a desired geometric path and to follow a timing law that the communication efficiency and the arrival times to assigned sites. Furthermore, we design an adaptive visual servoing controller for trajectory tracking task, taking into account system dynamics with environment interactions. After that, the third strategy is a centralized optimization algorithm for the redistribution of target mission changes. Finally, this paper also proposes a new method of control strategies in order to guarantee that each robot in the team moves together according to the preset target toward its location in the group formation based on communication and stability modules.
format Online
Article
Text
id pubmed-7019840
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-70198402020-03-09 Collaboration and Task Planning of Turtle-Inspired Multiple Amphibious Spherical Robots Zheng, Liang Guo, Shuxiang Piao, Yan Gu, Shuoxin An, Ruochen Micromachines (Basel) Article Amphibious Spherical Robots (ASRs) use an electric field to communicate and collaborate effectively in a turbid water of confined spaces where other mode communication modalities failed. This paper proposes an embedded architecture formation strategy for a group of turtle-inspired amphibious robots to maintain a long distance-parameterized path based on dynamic visual servoing. Inspired by this biological phenomenon, we design an artificial multi-robot cooperative mode and explore an electronic communication and collaborate devices, the control method is based in particular on underwater environment and also conduct a detailed analysis of control motion module. The objectives of control strategies are divided into four categories: The first strategy is that the leader robot controls the action of the overall robots to maintain collaborate together during motion along a desired geometric path and to follow a timing law that the communication efficiency and the arrival times to assigned sites. Furthermore, we design an adaptive visual servoing controller for trajectory tracking task, taking into account system dynamics with environment interactions. After that, the third strategy is a centralized optimization algorithm for the redistribution of target mission changes. Finally, this paper also proposes a new method of control strategies in order to guarantee that each robot in the team moves together according to the preset target toward its location in the group formation based on communication and stability modules. MDPI 2020-01-09 /pmc/articles/PMC7019840/ /pubmed/31936534 http://dx.doi.org/10.3390/mi11010071 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zheng, Liang
Guo, Shuxiang
Piao, Yan
Gu, Shuoxin
An, Ruochen
Collaboration and Task Planning of Turtle-Inspired Multiple Amphibious Spherical Robots
title Collaboration and Task Planning of Turtle-Inspired Multiple Amphibious Spherical Robots
title_full Collaboration and Task Planning of Turtle-Inspired Multiple Amphibious Spherical Robots
title_fullStr Collaboration and Task Planning of Turtle-Inspired Multiple Amphibious Spherical Robots
title_full_unstemmed Collaboration and Task Planning of Turtle-Inspired Multiple Amphibious Spherical Robots
title_short Collaboration and Task Planning of Turtle-Inspired Multiple Amphibious Spherical Robots
title_sort collaboration and task planning of turtle-inspired multiple amphibious spherical robots
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019840/
https://www.ncbi.nlm.nih.gov/pubmed/31936534
http://dx.doi.org/10.3390/mi11010071
work_keys_str_mv AT zhengliang collaborationandtaskplanningofturtleinspiredmultipleamphibioussphericalrobots
AT guoshuxiang collaborationandtaskplanningofturtleinspiredmultipleamphibioussphericalrobots
AT piaoyan collaborationandtaskplanningofturtleinspiredmultipleamphibioussphericalrobots
AT gushuoxin collaborationandtaskplanningofturtleinspiredmultipleamphibioussphericalrobots
AT anruochen collaborationandtaskplanningofturtleinspiredmultipleamphibioussphericalrobots