Combining gait optimization with passive system to increase the energy efficiency of a humanoid robot walking movement

There are several approaches to create the Humanoid robot gait planning. This problem presents a large number of unknown parameters that should be found to make the humanoid robot to walk. Optimization in simulation models can be used to find the gait based on several criteria such as energy minimiz...

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Detalhes bibliográficos
Autor principal: Pereira, Ana I. (author)
Outros Autores: Lima, José (author), Costa, Paulo Gomes da (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2018
Assuntos:
Texto completo:http://hdl.handle.net/10198/15482
País:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/15482
Descrição
Resumo:There are several approaches to create the Humanoid robot gait planning. This problem presents a large number of unknown parameters that should be found to make the humanoid robot to walk. Optimization in simulation models can be used to find the gait based on several criteria such as energy minimization, acceleration, step length among the others. The energy consumption can also be reduced with elastic elements coupled to each joint. The presented paper addresses an optimization method, the Stretched Simulated Annealing, that runs in an accurate and stable simulation model to find the optimal gait combined with elastic elements. Final results demonstrate that optimization is a valid gait planning technique.