A new footstep planning for SLIP and TD-SLIP models

buir.advisorMorgül, Ömer
dc.contributor.authorİslamoğlu, Serkan
dc.date.accessioned2020-12-31T10:23:52Z
dc.date.available2020-12-31T10:23:52Z
dc.date.copyright2020-12
dc.date.issued2020-12
dc.date.submitted2020-12-28
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionThesis (Master's): Bilkent University, Department of Electrical and Electronics Engineering, İhsan Doğramacı Bilkent University, 2020.en_US
dc.descriptionIncludes bibliographical references (leaves 86-90).en_US
dc.description.abstractSpring Loaded Inverted Pendulum (SLIP) is a well-known model and an accurate descriptive tool, which can scientifically represent the dynamics of the legged locomotion. Torque actuated Dissipative SLIP (TD-SLIP), on the other hand, is fundamentally an enhanced version of the SLIP model. Inclusion of more realistic damping model and the hip torque actuation has led the researchers to develop a sufficiently better analytic approximation. This thesis proposes a new methodology to achieve footstep planning on the SLIP and TD-SLIP models, distinctly. It contributes a novel planning algorithm by utilising the constructed touchdown-totouchdown map, and a novel recursive function to plan and execute the planning. The thesis provides a background information about the modelling and simulation of both of the used models, and an auxiliary function, which administers a derivative-free method to calculate the minimum of an input function. After defining the problems and the corresponding proposed solutions, the foundations of the preparation phase is established. This phase is fundamentally constructed to accumulate required information for the algorithm implementation and simulation phase. The main phase consists of subsections, which can be composed of the combination of following properties; planning type, as online and offline, policy type; as forward and backwards and output type; as based on distance or based on minimum step count. According to the stated problem, the planning is successfully realised not only for a single desired distance, but also an array of waypoints. In addition to this, the presented illustrations of different initial states show that the planning can also be constructed via any different initial touchdown state. Therefore, the obtained results are quite promising, since all of the cases and their combinations successfully reach the destinations with a negligible error value, which is less than 1%. Although, the offline planning type provides the results in a rapid way, the obtained data to use the plan requires much more space, which also increases dramatically when the step count (level) is incremented. In addition to this, the forward planning is faster than the backwards one, but they both generate very similar results.en_US
dc.description.provenanceSubmitted by Betül Özen (ozen@bilkent.edu.tr) on 2020-12-31T10:23:51Z No. of bitstreams: 1 10372492.pdf: 11089906 bytes, checksum: 0a4d6bf0f90baf03f6ecdf50d55b72b6 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-12-31T10:23:52Z (GMT). No. of bitstreams: 1 10372492.pdf: 11089906 bytes, checksum: 0a4d6bf0f90baf03f6ecdf50d55b72b6 (MD5) Previous issue date: 2020-12en
dc.description.statementofresponsibilityby Serkan İslamoğluen_US
dc.embargo.release2021-06-28
dc.format.extentxvi, 90 leaves : illustrations, charts ; 30 cm.en_US
dc.identifier.itemidB124714
dc.identifier.urihttp://hdl.handle.net/11693/54865
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSLIP dynamicsen_US
dc.subjectOnline - offline planningen_US
dc.subjectForward - backwards planningen_US
dc.subjectFootstep planningen_US
dc.subjectLegged locomotionen_US
dc.titleA new footstep planning for SLIP and TD-SLIP modelsen_US
dc.title.alternativeSLIP ve TD-SLIP modelleri üzerine adım planlamasıen_US
dc.typeThesisen_US
thesis.degree.disciplineElectrical and Electronic Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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