Title:
Manipulation Planning Among Movable Obstacles.

dc.contributor.author Stilman, Mike
dc.contributor.author Schamburek, Jan-Ullrich
dc.contributor.author Kuffner, James
dc.contributor.author Asfour, Tamin
dc.contributor.corporatename Universität Karlsruhe. Institut für Informatik und Ingenieurwissenschaften
dc.contributor.corporatename Carnegie-Mellon University. Robotics Institute
dc.date.accessioned 2010-12-16T19:32:43Z
dc.date.available 2010-12-16T19:32:43Z
dc.date.issued 2007-04
dc.description © 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en_US
dc.description.abstract This paper presents the ResolveSpatialConstraints (RSC) algorithm for manipulation planning in a domain with movable obstacles. Empirically we show that our algorithm quickly generates plans for simulated articulated robots in a highly nonlinear search space of exponential dimension. RSC is a reverse-time search that samples future robot actions and constrains the space of prior object displacements. To optimize the efficiency of RSC, we identify methods for sampling object surfaces and generating connecting paths between grasps and placements. In addition to experimental analysis of RSC, this paper looks into object placements and task-space motion constraints among other unique features of the three dimensional manipulation planning domain. en_US
dc.identifier.citation M. Stilman, J. Schmburek , J. Kuffner, T. Asfour. Manipulation Planning Among Movable Obstacles. IEEE Int. Conf. on Robotics and Automation (ICRA’07), April, 2007. en_US
dc.identifier.uri http://hdl.handle.net/1853/36482
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers
dc.subject Manipulation en_US
dc.subject Manipulation planning en_US
dc.subject Obstacle avoidance en_US
dc.title Manipulation Planning Among Movable Obstacles. en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.corporatename Humanoid Robotics Laboratory
relation.isOrgUnitOfPublication 05bf85fb-965e-425d-af8b-dbf56e0d9797
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