{"id":{"repo_id":"ohiolink","oai_identifier":"oai:etd.ohiolink.edu:case1354289624"},"canonical_url":"https://search.dev.ndltd.org/etd/ohiolink/oai:etd.ohiolink.edu:case1354289624","repository":{"repo_id":"ohiolink","name":"OhioLINK","base_url":"https://etd.ohiolink.edu/acprod/odb_etd/ws/oai/oai"},"display":{"title":"Simulating Complex Multi-Degree-Of-Freedom Systems and Muscle-Like Actuators","abstract":"Modeling of biological organisms and developing robotic systems based on these models are complicated and computationally intensive tasks. In order to reduce the amount of time needed to develop such models, computational tools are required which intelligently determine parameters of the physical system. Towards this goal several biological muscle models are presented and analyzed for use in biologically inspired robotic development. Initial attempts at implementing such muscle models revealed the need for automated tools to tune the muscle parameters. As such, a sensitivity analysis suite and evolutionary algorithm system have been developed to reduce the amount of designer time needed to tune model parameters. Additionally, the use of SimMechanics as a modeling platform has been explored and contact models have been optimized to minimize computational cost.","abstract_html":"Modeling of biological organisms and developing robotic systems based on these models are complicated and computationally intensive tasks. In order to reduce the amount of time needed to develop such models, computational tools are required which intelligently determine parameters of the physical system. Towards this goal several biological muscle models are presented and analyzed for use in biologically inspired robotic development. Initial attempts at implementing such muscle models revealed the need for automated tools to tune the muscle parameters. As such, a sensitivity analysis suite and evolutionary algorithm system have been developed to reduce the amount of designer time needed to tune model parameters. Additionally, the use of SimMechanics as a modeling platform has been explored and contact models have been optimized to minimize computational cost.","abstract_has_math":false,"creators":["Webster, Victoria Ann"],"institution":"Case Western Reserve University School of Graduate Studies","degree_name":"Master of Sciences (Engineering)","degree_level":"masters","degree_discipline":"EMC - Mechanical Engineering","degree_department":null,"school":null,"contributors":["Quinn, Roger"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-03-12","date_published":"2013-03-12","updated_at":"2026-07-24T03:35:52Z","subjects":["Engineering","biologically inspired","muscle-like actuators","robotics","evolutionary algorithm","SimMechanics","AnimatLab"],"languages":["English"],"rights":["unrestricted","This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://rave.ohiolink.edu/etdc/view?acc_num=case1354289624","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Quinn, Roger"]},{"key":"dc:creator","label":"Author","values":["Webster, Victoria Ann"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2013-03-12"]},{"key":"dc:publisher","label":"Institution","values":["Case Western Reserve University School of Graduate Studies / OhioLINK"]},{"key":"dc:type","label":"Dc Type","values":["Electronic Thesis or Dissertation"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["EMC - Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Sciences (Engineering)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Case Western Reserve University School of Graduate Studies"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering","biologically inspired","muscle-like actuators","robotics","evolutionary algorithm","SimMechanics","AnimatLab"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:rights","label":"Dc Rights","values":["unrestricted","This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://rave.ohiolink.edu/etdc/view?acc_num=case1354289624"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Modeling of biological organisms and developing robotic systems based on these models are complicated and computationally intensive tasks. In order to reduce the amount of time needed to develop such models, computational tools are required which intelligently determine parameters of the physical system. Towards this goal several biological muscle models are presented and analyzed for use in biologically inspired robotic development. Initial attempts at implementing such muscle models revealed the need for automated tools to tune the muscle parameters. As such, a sensitivity analysis suite and evolutionary algorithm system have been developed to reduce the amount of designer time needed to tune model parameters. Additionally, the use of SimMechanics as a modeling platform has been explored and contact models have been optimized to minimize computational cost."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf","1.22 MB"]},{"key":"dc:title","label":"Title","values":["Simulating Complex Multi-Degree-Of-Freedom Systems and Muscle-Like Actuators"]}]}],"canonical_facts":{"dc:contributor":["Quinn, Roger"],"dc:creator":["Webster, Victoria Ann"],"dc:date":["2013-03-12"],"dc:description":["Modeling of biological organisms and developing robotic systems based on these models are complicated and computationally intensive tasks. In order to reduce the amount of time needed to develop such models, computational tools are required which intelligently determine parameters of the physical system. Towards this goal several biological muscle models are presented and analyzed for use in biologically inspired robotic development. Initial attempts at implementing such muscle models revealed the need for automated tools to tune the muscle parameters. As such, a sensitivity analysis suite and evolutionary algorithm system have been developed to reduce the amount of designer time needed to tune model parameters. Additionally, the use of SimMechanics as a modeling platform has been explored and contact models have been optimized to minimize computational cost."],"dc:format":["application/pdf","1.22 MB"],"dc:identifier":["http://rave.ohiolink.edu/etdc/view?acc_num=case1354289624"],"dc:language":["English"],"dc:publisher":["Case Western Reserve University School of Graduate Studies / OhioLINK"],"dc:rights":["unrestricted","This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws."],"dc:subject":["Engineering","biologically inspired","muscle-like actuators","robotics","evolutionary algorithm","SimMechanics","AnimatLab"],"dc:title":["Simulating Complex Multi-Degree-Of-Freedom Systems and Muscle-Like Actuators"],"dc:type":["Electronic Thesis or Dissertation"],"thesis:degree_discipline":["EMC - Mechanical Engineering"],"thesis:degree_level":["masters"],"thesis:degree_name":["Master of Sciences (Engineering)"],"thesis:institution_name":["Case Western Reserve University School of Graduate Studies"]},"updated_at":"2026-07-24T03:35:52Z"}