57 resultados para Robot operating system


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Ciência da Computação - IBILCE

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Desenvolvimento Humano e Tecnologias - IBRC

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Pós-graduação em Engenharia Elétrica - FEIS

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Pós-graduação em Engenharia Mecânica - FEG

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Pós-graduação em Engenharia Elétrica - FEIS

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The use of mobile robots turns out to be interesting in activities where the action of human specialist is difficult or dangerous. Mobile robots are often used for the exploration in areas of difficult access, such as rescue operations and space missions, to avoid human experts exposition to risky situations. Mobile robots are also used in agriculture for planting tasks as well as for keeping the application of pesticides within minimal amounts to mitigate environmental pollution. In this paper we present the development of a system to control the navigation of an autonomous mobile robot through tracks in plantations. Track images are used to control robot direction by pre-processing them to extract image features. Such features are then submitted to a support vector machine and an artificial neural network in order to find out the most appropriate route. A comparison of the two approaches was performed to ascertain the one presenting the best outcome. The overall goal of the project to which this work is connected is to develop a real time robot control system to be embedded into a hardware platform. In this paper we report the software implementation of a support vector machine and of an artificial neural network, which so far presented respectively around 93% and 90% accuracy in predicting the appropriate route. (C) 2013 The Authors. Published by Elsevier B.V. Selection and peer review under responsibility of the organizers of the 2013 International Conference on Computational Science

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Water is an essential element for life. The use of this element, to support the community, defines it as water resource. This feature is being misused and degraded by the dumping of highly contaminated effluents. The impoverishment of its quality poses a risk to human consumption. The necessity to manage this resource, treating the wastewater properly, requires the constant improvement of treatment systems. Another need is to adjust the cost of systems to the demands of communities with less financial clout. This study aimed to adapt and understand the systems of wetlands, improving its efficiency, in an attempt to collaborate with the enrichment of this technology. The practical evidence, with lab-scale prototypes, assembled in ETE Piracicamirim with urban sewage effluent contributed to highlight the problems and operating system design. The bibliographic review showed that several studies had effectiveness for treatment. But it was evident the need for better understanding of dimensioning definitions that better attempted to the answers into the project. Moreover, standardization of system conditions for the specific wastewater treatment is an interesting field, identified, for future studies yet contribute to environmental engineering and sanitation