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dc.contributor.advisorTesar, Delbert
dc.creatorKnoll, Jonathan Andrew, 1980-
dc.date.accessioned2017-04-11T15:34:42Z
dc.date.accessioned2018-01-22T22:31:59Z
dc.date.available2017-04-11T15:34:42Z
dc.date.available2018-01-22T22:31:59Z
dc.date.issued2007-05
dc.identifierdoi:10.15781/T23R0Q008
dc.identifier.urihttp://hdl.handle.net/2152/46403
dc.description.abstractThe expansion of robotics to new industries and advances in technology brings them into closer proximity to humans which necessitates careful robot motion in relation to the environment. This report addresses the need for better geometric modeling of robotic workcells for control and coordination in terms motion planning, obstacle avoidance, and collision detection. With the realization that input modeling parameters greatly influence the type and quality of the resultant output state of the model, input/output parameters are closely examined in this report. This examination puts particular emphasis on the relationship between geometric representation and separation distance. Modeling techniques are then studied and compared to determine one which will accomplish a set of requirements for a complex robotic workcell. The Trauma Pod is a remotely controlled robotic operating room where the patient is the only human in the room. In this report, the Trauma Pod served as a case study for applying modeling techniques to fulfill requirements though a modeling framework. The requirements for the Trauma Pod included supporting collision detection and distance calculation between high resolution geometry and providing other custom features such as calculation of manipulator self-collisions. A general set of requirements were then established, and similar capabilities developed for the Trauma Pod were extended to general robotic workcells for satisfaction of those requirements. This established a set of modeling tools for a geometric workcell modeling framework. Accomplishment of all Trauma Pod modeling requirements proved the validity of the modeling technique chosen in this report. Furthermore, the chosen modeling technique has been implemented into Operational Software Components for Advanced Robotics (OSCAR) to provide powerful modeling capabilities to general robotic workcells. This work has not only proven to dramatically improve the collision detection capability of OSCAR, but it also provides potential benefit to robot motion planning and obstacle avoidance.en_US
dc.format.mediumelectronicen_US
dc.language.isoengen_US
dc.relation.ispartofUT Electronic Theses and Dissertationsen_US
dc.rightsCopyright © is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.en_US
dc.subjectRoboticsen_US
dc.subjectControl and coordinationen_US
dc.subjectOperational Software Components for Advanced Robotics (OSCAR)en_US
dc.titleGeometric workcell modeling for robot control and coordinationen_US
dc.typeThesisen_US
dc.description.departmentMechanical Engineeringen_US
dc.type.genreThesisen_US
dc.rights.restrictionRestricteden_US


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