Formation control driven by cooperative object tracking

dc.contributor.author Lima,PU en
dc.contributor.author Ahmad,A en
dc.contributor.author André Dias en
dc.contributor.author Conceicao,AGS en
dc.contributor.author António Paulo Moreira en
dc.contributor.author Eduardo Silva en
dc.contributor.author Almeida,L en
dc.contributor.author Oliveira,L en
dc.contributor.author Nascimento,TP en
dc.date.accessioned 2017-12-28T11:27:26Z
dc.date.available 2017-12-28T11:27:26Z
dc.date.issued 2015 en
dc.description.abstract 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. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/5071
dc.identifier.uri http://dx.doi.org/10.1016/j.robot.2014.08.018 en
dc.language eng en
dc.relation 5429 en
dc.relation 5566 en
dc.relation 5157 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title Formation control driven by cooperative object tracking en
dc.type article en
dc.type Publication en
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