Energy efficient hopping with Hill-type muscle properties on segmented legs

dc.contributor.other Plants and Ecosystems (PLECO) - Ecology in a time of change
dc.contributor.other Integrated Molecular Plant physiology Research (IMPRES) 2019-04-26T08:57:06Z 2019-04-26T08:57:06Z 12/04/16
dc.description The intrinsic muscular properties of biological muscles are the main source of stabilization during locomotion, and superior biological performance is obtained with low energy costs. Man-made actuators struggle to reach the same energy efficiency seen in biological muscles. Here, we compare muscle properties within a one-dimensional and a two-segmented hopping leg. Different forceΓÇô lengthΓÇôvelocity relations(constant, linear, and Hill)were adopted for these two proposed models, and the stable maximum hopping heights from both cases were used to estimate the cost of hopping. We then performed a fine-grained analysis during landing and takeoff of the best performing cases, and concluded that the forceΓÇôvelocity Hill-type model is, at maximum hopping height, the most efficient for both linear and segmented models. While hopping at the same height the forceΓÇôvelocity Hill-type relation outperformed the linear relation as well. Finally, knee angles between 60┬░ and 90┬░ presented a lower energy expenditure than other morphologies for both Hill-type and constant relations during maximum hopping height. This work compares different muscular properties in terms of energy efficiency within different geometries, and these results can be applied to decrease energy costs of current actuators and robots during locomotion.
dc.language en
dc.publisher.program Institute of Physics
dc.title Energy efficient hopping with Hill-type muscle properties on segmented legs
dspace.entity.type Publication
relation.isAuthorOfPublication fcbab2a4-d774-4cf0-83f6-1417f0b5567d
relation.isAuthorOfPublication ae57a962-7e75-48dd-8ef6-90cb6cf97e9b
relation.isOrgUnitOfPublication 4b0bb46a-9086-4398-a6b4-09840404d8dc
relation.isOrgUnitOfPublication e367d914-4102-44d2-8346-4e08c0f08b5f
relation.isProjectOfPublication 2aee2122-586e-4450-a233-0b9a1f3beaf3