Publication

Optimization of a humanoid robot gait: multilocal optimization approach

View document

Bibliographic Details
Summary:The humanoid robot gait planning presents a large number of unknown parameters that should be found to make the humanoid robot to walk. There are several approaches to achieve the gait but an accurate simulation can be used to compute it. A stable joint model of a humanoid robot is used in simulation to optimize the gait parameters. The optimization is based on the stretched simulated annealing with the multilocal algorithm approach. Final results prove the benefits of the presented optimization algorithm.
Main Authors:Lima, José
Other Authors:Pereira, Ana I.; Costa, Paulo Gomes da; Gonçalves, José
Subject:Robotics Optimization
Year:2013
Country:Portugal
Document type:conference paper
Access type:open access
Associated institution:Instituto Politécnico de Bragança
Language:English
Origin:Biblioteca Digital do IPB
Description
Summary:The humanoid robot gait planning presents a large number of unknown parameters that should be found to make the humanoid robot to walk. There are several approaches to achieve the gait but an accurate simulation can be used to compute it. A stable joint model of a humanoid robot is used in simulation to optimize the gait parameters. The optimization is based on the stretched simulated annealing with the multilocal algorithm approach. Final results prove the benefits of the presented optimization algorithm.