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Autonomous Feature-based Exploration using a Low-Cost Mobile Robot

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Autor(es):
Buonocore, Luciano ; Neto, Areolino de Almeida ; Nascimento Junior, Cairo Lucio ; IEEE
Número total de Autores: 4
Tipo de documento: Artigo Científico
Fonte: 2014 8TH ANNUAL IEEE SYSTEMS CONFERENCE (SYSCON); v. N/A, p. 8-pg., 2014-01-01.
Resumo

This article is concerned with the solution of the SLAM (Simultaneous Localization And Mapping) problem in a medium scale indoor environment using a low-cost mobile robot that autonomously explores the environment. The low-cost robot was built with a distance measurement subsystem composed of three types of sensors: a wireless webcam with a laser pointer (a visual sensor), two infrared sensors and an ultrasonic sensor. SLAM experiments were performed in small and medium scale environments where the robot operated autonomously. This article shows the results of a SLAM experiment in 55 m long by 2.8 m wide corridor where several artificial walls were used to simulate a more complex environment. The acquired map closely matches the real environment and is also used to navigate the robot. (AU)

Processo FAPESP: 06/06005-0 - Realabs - uma federação de web labs cooperativos
Beneficiário:Eleri Cardozo
Modalidade de apoio: Auxílio à Pesquisa - Tecnologia da Informação no Desenvolvimento da Internet Avançada - TIDIA