Humanoid Gait Optimization Resorting to an Improved Simulation Model

The simulation of a robot with a high number of joints can easily become unstable. Numerical errors on the first joint of the chain are propagated to the other joints. This is a very common problem in humanoid robots. A way to plan the gait for these robots is using simulation and optimization techn...

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Main Authors: José L. Lima, José A. Gonçalves, Paulo G. Costa, A. Paulo Moreira
Format: Article
Language:English
Published: SAGE Publishing 2013-01-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/54766
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author José L. Lima
José A. Gonçalves
Paulo G. Costa
A. Paulo Moreira
author_facet José L. Lima
José A. Gonçalves
Paulo G. Costa
A. Paulo Moreira
author_sort José L. Lima
collection DOAJ
description The simulation of a robot with a high number of joints can easily become unstable. Numerical errors on the first joint of the chain are propagated to the other joints. This is a very common problem in humanoid robots. A way to plan the gait for these robots is using simulation and optimization techniques. This paper addresses a new approach to optimizing gait parameter sets using an adaptive simulated annealing optimization algorithm, combined with a new joint model that reduces its instability. The new model and the optimization are implemented in SimTwo (a developed physical robot simulator that is capable of simulating user defined robots in a three-dimensional space, since it includes a physical model based on rigid body dynamics) and results are shown that validate the approach.
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spelling doaj.art-9f44fcedf2954cf493e2694be523295a2022-12-22T00:26:21ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142013-01-011010.5772/5476610.5772_54766Humanoid Gait Optimization Resorting to an Improved Simulation ModelJosé L. Lima0José A. Gonçalves1Paulo G. Costa2A. Paulo Moreira3 INESC TEC (formerly INESC Porto) and the Faculty of Engineering of the University of Porto, Porto, Portugal INESC TEC (formerly INESC Porto) and the Faculty of Engineering of the University of Porto, Porto, Portugal INESC TEC (formerly INESC Porto) and the Faculty of Engineering of the University of Porto, Porto, Portugal INESC TEC (formerly INESC Porto) and the Faculty of Engineering of the University of Porto, Porto, PortugalThe simulation of a robot with a high number of joints can easily become unstable. Numerical errors on the first joint of the chain are propagated to the other joints. This is a very common problem in humanoid robots. A way to plan the gait for these robots is using simulation and optimization techniques. This paper addresses a new approach to optimizing gait parameter sets using an adaptive simulated annealing optimization algorithm, combined with a new joint model that reduces its instability. The new model and the optimization are implemented in SimTwo (a developed physical robot simulator that is capable of simulating user defined robots in a three-dimensional space, since it includes a physical model based on rigid body dynamics) and results are shown that validate the approach.https://doi.org/10.5772/54766
spellingShingle José L. Lima
José A. Gonçalves
Paulo G. Costa
A. Paulo Moreira
Humanoid Gait Optimization Resorting to an Improved Simulation Model
International Journal of Advanced Robotic Systems
title Humanoid Gait Optimization Resorting to an Improved Simulation Model
title_full Humanoid Gait Optimization Resorting to an Improved Simulation Model
title_fullStr Humanoid Gait Optimization Resorting to an Improved Simulation Model
title_full_unstemmed Humanoid Gait Optimization Resorting to an Improved Simulation Model
title_short Humanoid Gait Optimization Resorting to an Improved Simulation Model
title_sort humanoid gait optimization resorting to an improved simulation model
url https://doi.org/10.5772/54766
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AT paulogcosta humanoidgaitoptimizationresortingtoanimprovedsimulationmodel
AT apaulomoreira humanoidgaitoptimizationresortingtoanimprovedsimulationmodel