Robot Manipulation Planning Under Linear Temporal Logic Specifications

dc.contributor.advisorKavraki, Lydia Een_US
dc.contributor.committeeMemberVardi, Moshe Yen_US
dc.contributor.committeeMemberChaudhuri, Swaraten_US
dc.creatorHe, Keliangen_US
dc.date.accessioned2016-01-22T17:34:58Zen_US
dc.date.available2016-01-22T17:34:58Zen_US
dc.date.created2016-05en_US
dc.date.issued2015-12-07en_US
dc.date.submittedMay 2016en_US
dc.date.updated2016-01-22T17:34:59Zen_US
dc.description.abstractAutomated planning for manipulation tasks is highly desirable, for it enables robot manipulators to be used by none robotics experts. This thesis presents one approach to solving manipulation planning for tasks expressed in linear temporal logic (ltl). This approach is based on the synergistic framework, which provides probabilistic completeness guarantees. Even though the synergistic framework has shown to work well for planning for ltl tasks in the navigation domain, it lacked an abstraction that can capture the high dimensionality of manipulation. This thesis enables manipulation planning using the synergistic framework by introducing a manipulation abstraction and modifying the interaction between task and motion planning in the framework. The modified framework is shown to be effectively in case studies in both simulation and physical systems. The case studies also show that the synergistic framework plans for manipulation problems more effective using the manipulation abstraction in comparison with a naive abstraction.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationHe, Keliang. "Robot Manipulation Planning Under Linear Temporal Logic Specifications." (2015) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/88079">https://hdl.handle.net/1911/88079</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/88079en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectRobot Manipulationen_US
dc.subjectIntegrated Task and Motion Planningen_US
dc.titleRobot Manipulation Planning Under Linear Temporal Logic Specificationsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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