Formation Control Driven by Cooperative Object Tracking
| Main Author: | |
|---|---|
| Publication Date: | 2014 |
| Other Authors: | , , , , , , , |
| Format: | Article |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/10400.22/7188 |
Summary: | In this paper we introduce a formation control loop that maximizes the performance of the cooperative perception of a tracked target by a team of mobile robots, while maintaining the team in formation, with a dynamically adjustable geometry which is a function of the quality of the target perception by the team. In the formation control loop, the controller module is a distributed non-linear model predictive controller and the estimator module fuses local estimates of the target state, obtained by a particle filter at each robot. The two modules and their integration are described in detail, including a real-time database associated to a wireless communication protocol that facilitates the exchange of state data while reducing collisions among team members. Simulation and real robot results for indoor and outdoor teams of different robots are presented. The results highlight how our method successfully enables a team of homogeneous robots to minimize the total uncertainty of the tracked target cooperative estimate while complying with performance criteria such as keeping a pre-set distance between the teammates and the target, avoiding collisions with teammates and/or surrounding obstacles. |
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Formation Control Driven by Cooperative Object TrackingFormation controlFormation state estimationModel predictive controlCooperative perceptionIndoor soccer robotsOutdoor land and aerial robotsTarget trackingIn this paper we introduce a formation control loop that maximizes the performance of the cooperative perception of a tracked target by a team of mobile robots, while maintaining the team in formation, with a dynamically adjustable geometry which is a function of the quality of the target perception by the team. In the formation control loop, the controller module is a distributed non-linear model predictive controller and the estimator module fuses local estimates of the target state, obtained by a particle filter at each robot. The two modules and their integration are described in detail, including a real-time database associated to a wireless communication protocol that facilitates the exchange of state data while reducing collisions among team members. Simulation and real robot results for indoor and outdoor teams of different robots are presented. The results highlight how our method successfully enables a team of homogeneous robots to minimize the total uncertainty of the tracked target cooperative estimate while complying with performance criteria such as keeping a pre-set distance between the teammates and the target, avoiding collisions with teammates and/or surrounding obstacles.ElsevierREPOSITÓRIO P.PORTOLima, PedroAhmada, AamirDias, AndréConceição, AndréMoreira, AntónioSilva, EduardoAlmeida, LuísOliveira, LuísNascimento, Tiago2015-12-15T15:29:07Z20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/7188eng10.1016/j.robot.2014.08.018info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-07T10:03:56Zoai:recipp.ipp.pt:10400.22/7188Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:29:58.114300Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Formation Control Driven by Cooperative Object Tracking |
| title |
Formation Control Driven by Cooperative Object Tracking |
| spellingShingle |
Formation Control Driven by Cooperative Object Tracking Lima, Pedro Formation control Formation state estimation Model predictive control Cooperative perception Indoor soccer robots Outdoor land and aerial robots Target tracking |
| title_short |
Formation Control Driven by Cooperative Object Tracking |
| title_full |
Formation Control Driven by Cooperative Object Tracking |
| title_fullStr |
Formation Control Driven by Cooperative Object Tracking |
| title_full_unstemmed |
Formation Control Driven by Cooperative Object Tracking |
| title_sort |
Formation Control Driven by Cooperative Object Tracking |
| author |
Lima, Pedro |
| author_facet |
Lima, Pedro Ahmada, Aamir Dias, André Conceição, André Moreira, António Silva, Eduardo Almeida, Luís Oliveira, Luís Nascimento, Tiago |
| author_role |
author |
| author2 |
Ahmada, Aamir Dias, André Conceição, André Moreira, António Silva, Eduardo Almeida, Luís Oliveira, Luís Nascimento, Tiago |
| author2_role |
author author author author author author author author |
| dc.contributor.none.fl_str_mv |
REPOSITÓRIO P.PORTO |
| dc.contributor.author.fl_str_mv |
Lima, Pedro Ahmada, Aamir Dias, André Conceição, André Moreira, António Silva, Eduardo Almeida, Luís Oliveira, Luís Nascimento, Tiago |
| dc.subject.por.fl_str_mv |
Formation control Formation state estimation Model predictive control Cooperative perception Indoor soccer robots Outdoor land and aerial robots Target tracking |
| topic |
Formation control Formation state estimation Model predictive control Cooperative perception Indoor soccer robots Outdoor land and aerial robots Target tracking |
| description |
In this paper we introduce a formation control loop that maximizes the performance of the cooperative perception of a tracked target by a team of mobile robots, while maintaining the team in formation, with a dynamically adjustable geometry which is a function of the quality of the target perception by the team. In the formation control loop, the controller module is a distributed non-linear model predictive controller and the estimator module fuses local estimates of the target state, obtained by a particle filter at each robot. The two modules and their integration are described in detail, including a real-time database associated to a wireless communication protocol that facilitates the exchange of state data while reducing collisions among team members. Simulation and real robot results for indoor and outdoor teams of different robots are presented. The results highlight how our method successfully enables a team of homogeneous robots to minimize the total uncertainty of the tracked target cooperative estimate while complying with performance criteria such as keeping a pre-set distance between the teammates and the target, avoiding collisions with teammates and/or surrounding obstacles. |
| publishDate |
2014 |
| dc.date.none.fl_str_mv |
2014 2014-01-01T00:00:00Z 2015-12-15T15:29:07Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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http://hdl.handle.net/10400.22/7188 |
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http://hdl.handle.net/10400.22/7188 |
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eng |
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eng |
| dc.relation.none.fl_str_mv |
10.1016/j.robot.2014.08.018 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Elsevier |
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Elsevier |
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