10th International Multi-Conferences on Systems, Signals &Amp; Devices 2013 (SSD13) 2013
DOI: 10.1109/ssd.2013.6564107
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Optimal pattern generator for dynamic walking in humanoid robotics

Abstract: Abstract-This paper deals with an optimal ZMP based pattern generator for stable dynamic walking. The proposed method is based on a Three-Mass Linear Inverted Pendulum Model (3MLIPM), used as a simplified dynamics of the biped robot. The 3MLIPM simplifies the biped robot as a three point masses and two-link system. A ZMP based criterion is then used in an optimization problem whose solution gives the best values of the model's parameters w.r.t. dynamic walking stability. Numerical simulations are presented to … Show more

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Cited by 9 publications
(1 citation statement)
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“…These robots have been usually controlled by classic paradigms such as the zero-moment point (ZMP), a well-known method for the synthesis of prescribed joint trajectories by means of continuous tracking of stable footground contact (Vukobratović1975, Vukobratović and Borovac 2004). This approach demonstrated good stability in vast range of condition (Kaneko et al 2008, Galdeano and Chemori 2013, Yu et al 2014. Nevertheless, several functional and topological shortcomings can be observed, such as unnatural motions, high-energy costs, high computational demands, dependence on dynamic model, and rigidity.…”
Section: Bipedal Robots Locomotionmentioning
confidence: 99%
“…These robots have been usually controlled by classic paradigms such as the zero-moment point (ZMP), a well-known method for the synthesis of prescribed joint trajectories by means of continuous tracking of stable footground contact (Vukobratović1975, Vukobratović and Borovac 2004). This approach demonstrated good stability in vast range of condition (Kaneko et al 2008, Galdeano and Chemori 2013, Yu et al 2014. Nevertheless, several functional and topological shortcomings can be observed, such as unnatural motions, high-energy costs, high computational demands, dependence on dynamic model, and rigidity.…”
Section: Bipedal Robots Locomotionmentioning
confidence: 99%