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Genetic programming applied to biped locomotion control with sensory information

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Detalhes bibliográficos
Resumo:Generating biped locomotion in robotic platforms is hard. It has to deal with the complexity of the tasks which requires the synchronization of several joints, while monitoring stability. Further, it is also expected to deal with the great heterogeneity of existing platforms. The generation of adaptable locomotion further increases the complexity of the task. In this paper, Genetic Programming (GP) is used as an automatic search method for motion primitives of a biped robot, that optimizes a given criterion. It does so by exploring and exploiting the capabilities and particularities of the platform. In order to increase the adaptability of the achieved solutions, feedback pathways were directly included into the evolutionary process through sensory inputs.
Autores principais:Ferreira, César
Outros Autores:Silva, Pedro André Moreira; André, João; Santos, Cristina; Costa, Lino
Assunto:Biped locomotion CPG (Central pattern generator) Sensory information
Ano:2014
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:Generating biped locomotion in robotic platforms is hard. It has to deal with the complexity of the tasks which requires the synchronization of several joints, while monitoring stability. Further, it is also expected to deal with the great heterogeneity of existing platforms. The generation of adaptable locomotion further increases the complexity of the task. In this paper, Genetic Programming (GP) is used as an automatic search method for motion primitives of a biped robot, that optimizes a given criterion. It does so by exploring and exploiting the capabilities and particularities of the platform. In order to increase the adaptability of the achieved solutions, feedback pathways were directly included into the evolutionary process through sensory inputs.