Minimum Energy-cost Walking Exploiting Natural Dynamics of Multiple Spring-Mass Model

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Abstract

The energy-efficient locomotion for a legged robot has been an important research topic. In this paper, we propose a dynamic model and the conditions to realize minimal-cost walking exploiting natural dynamics by analytical solving the dynamics of walking. The proposed dynamic model for walking consists of two springs and three masses, and the dynamics and condition for this model to realize the continuous and minimal cost walking is derived theoretically. Because the legged model is a hybrid model depending on the landing of feet, the transition conditions are proposed to realize continuous motion and while avoiding the energy dissipation caused by the ground collision. The initial states of the model determine the entire motion with proposed transition conditions. The whole two-dimensional dynamics of the proposed biped model is solved, and the results reveal that the stiffness of legs and the initial positions of the feet can adjust the period and velocity of natural dynamics driven walking. The generated walking model and dynamics are verified using simulations which show the total energy of the proposed walking model is conserved while the repetitive motion is realized.

Original languageEnglish
Title of host publication2020 10th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2020
EditorsTamim Asfour, Dongheui Lee, Mombaur Katja, Katsu Yamane, Kensuke Harada, Ludovic Righetti, Nikos Tsagarakis, Tomomichi Sugihara
PublisherIEEE Computer Society
Pages216-221
Number of pages6
ISBN (Electronic)9781728193724
DOIs
StatePublished - 2021
Event20th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2020 - Munich, Germany
Duration: 19 Jul 202121 Jul 2021

Publication series

NameIEEE-RAS International Conference on Humanoid Robots
Volume2021-July
ISSN (Print)2164-0572
ISSN (Electronic)2164-0580

Conference

Conference20th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2020
Country/TerritoryGermany
CityMunich
Period19/07/2121/07/21

Bibliographical note

Publisher Copyright:
©2021 IEEE.

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