Toward a Data-Driven Template Model for Quadrupedal Locomotion

dc.contributor.authorFawcett, Randall T.en
dc.contributor.authorAfsari, Kereshmehen
dc.contributor.authorAmes, Aaron D.en
dc.contributor.authorHamed, Kaveh A.en
dc.date.accessioned2023-01-30T20:45:53Zen
dc.date.available2023-01-30T20:45:53Zen
dc.date.issued2022-07-01en
dc.date.updated2023-01-30T17:16:44Zen
dc.description.abstractThis work investigates a data-driven template model for trajectory planning of dynamic quadrupedal robots. Many state-of-the-art approaches involve using a reduced-order model, primarily due to computational tractability. The spirit of the trajectory planning approach in this work draws on recent advancements in the area of behavioral systems theory. Here, we aim to capitalize on the knowledge of well-known template models to construct a data-driven model, enabling us to obtain an information rich reduced-order model. In particular, this work considers input-output states similar to that of the single rigid body model and proceeds to develop a data-driven representation of the system, which is then used in a predictive control framework to plan a trajectory for quadrupeds. The optimal trajectory is passed to a low-level and nonlinear model-based controller to be tracked. Preliminary experimental results are provided to establish the efficacy of this hierarchical control approach for trotting and walking gaits of a high-dimensional quadrupedal robot on unknown terrains and in the presence of disturbances.en
dc.description.versionAccepted versionen
dc.format.extentPages 7636-7643en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/LRA.2022.3184007en
dc.identifier.eissn2377-3766en
dc.identifier.issn2377-3766en
dc.identifier.issue3en
dc.identifier.orcidAkbari Hamed, Kaveh [0000-0001-9597-1691]en
dc.identifier.urihttp://hdl.handle.net/10919/113572en
dc.identifier.volume7en
dc.language.isoenen
dc.publisherIEEEen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectRoboticsen
dc.titleToward a Data-Driven Template Model for Quadrupedal Locomotionen
dc.title.serialIEEE Robotics and Automation Lettersen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherJournal Articleen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Mechanical Engineeringen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen

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