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 presented paper addresses a comparison between two optimization methods, the Stretched simulated annealing (SSA) and the Genetic Algorithm (GA), that runs in an accurate and stable simulation model. Final results show the comparative study and proves the gait optimization technique. ; This work was financed by FEDER funds through COMPETE (Operational Programme Thematic Factors of Competitiveness) and by portuguese funds through FCT (Foundation for Science and Technology) within the project FCOMP-01-0124-FEDER-022674.
Humanoid robot gait optimization: simulated annealing and genetic algorithm comparative study
2013-01-01
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC: | 629 |
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