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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Humanoid Robot Framework for Research on Cognitive Robotics

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Autor(es):
Perico, Danilo H. [1] ; Homem, Thiago P. D. [1, 2] ; Almeida, Aislan C. [1] ; Silva, Isaac J. [1] ; Vilao, Jr., Claudio O. [1] ; Ferreira, Vinicius N. [1] ; Bianchi, Reinaldo A. C. [1]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Ctr Univ FEI, Sao Bernardo Do Campo, SP - Brazil
[2] Inst Fed Sao Paulo, Sao Paulo, SP - Brazil
Número total de Afiliações: 2
Tipo de documento: Artigo Científico
Fonte: JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS; v. 29, n. 4, p. 470-479, AUG 2018.
Citações Web of Science: 0
Resumo

This paper presents a humanoid robot framework, composed of a simulator and a telemetry interface. The framework is based on the Cross Architecture, and it is developed aiming for the RoboCup Soccer Humanoid League domain. A simulator is an important tool for testing cognitive algorithms without handling issues of real robots; furthermore, a simulator is extremely useful for allowing reproducibility of any developed algorithm, even if there is no robot available. The proposed simulator allows an easy transfer of the algorithms developed in the simulator to real robots, as long as it uses the Cross Architecture as its software architecture. Then, in order to evaluate the cognitive algorithms in real robots, a telemetry interface is proposed. From this interface, it is possible to monitor any variable in the robot's shared memory. The framework is open source and has low computational cost. Experiments were conducted in order to analyze both, simulator and telemetry interface. Experiments performed with the simulator aim to validate the high-level strategy development and the portability to a real robot, while experiments with telemetry interface aim to evaluate the robot behavior using, as input, the information received from the shared memory passed by all processes. The results show that the simulator can be used to test and develop new algorithms, while the telemetry can be used to monitor the robot, thus validating the framework for this domain. (AU)

Processo FAPESP: 16/21047-3 - ALIS: Aprendizado Autônomo em Sistemas Inteligentes
Beneficiário:Anna Helena Reali Costa
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 16/18792-9 - Descrição, representação e solução de jogos espaciais
Beneficiário:Paulo Eduardo Santos
Modalidade de apoio: Auxílio à Pesquisa - Parceria para Inovação Tecnológica - PITE