Please use this identifier to cite or link to this item:
http://hdl.handle.net/1843/82023
Type: | Artigo de Evento |
Title: | Autonomous navigation of multiple robots using supervisory control theory |
Authors: | Jaime Arturo Dulce-Galindo Marcelo A. Santos Guilherme V. Raffo Patrícia Nascimento Pena |
Abstract: | This paper proposes a hybrid structure for autonomous navigation of multiple robots with tasks assigned by a centralized scheduler. Considering the robots as Discrete Event Systems (DES), the Supervisory Control Theory (SCT) is used to model and control individually the behavior of each robot of the system. Particularly, gathering deliberative and reactive motion planning algorithms through a structured procedure, it allows to obtain a hybrid planner able to perform safe navigation in a mapped workspace with unknown obstacles. Therefore, initially, the open-loop behavior and the reduced supervisors for the robots are provided and, later, a pseudocode describing the scheduler and its interaction with the robots is presented. Furthermore, as a case study, simulations considering mobile robots are carried out to corroborate the proposed framework. |
Subject: | Robótica |
language: | eng |
metadata.dc.publisher.country: | Brasil |
Publisher: | Universidade Federal de Minas Gerais |
Publisher Initials: | UFMG |
metadata.dc.publisher.department: | ENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA |
Rights: | Acesso Restrito |
metadata.dc.identifier.doi: | 10.23919/ECC.2019.8796261 |
URI: | http://hdl.handle.net/1843/82023 |
Issue Date: | 2019 |
metadata.dc.url.externa: | https://ieeexplore.ieee.org/document/8796261 |
metadata.dc.relation.ispartof: | 18th European Control Conference (ECC) |
Appears in Collections: | Artigo de Evento |
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