Title:
Diverse Workspace Path Planning for Robot Manipulators

dc.contributor.author Quispe, Ana Huamán
dc.contributor.author Stilman, Mike
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines
dc.date.accessioned 2012-07-12T21:50:37Z
dc.date.available 2012-07-12T21:50:37Z
dc.date.issued 2012-07
dc.description.abstract We present a novel algorithm that generates a set of diverse workspace paths for manipulators. By considering more than one possible path we give our manipulator the flexibility to choose from many possible ways to execute a task. This is particularly important in cases in which the best workspace path cannot be executed by the manipulator (e.g. due to the presence of obstacles that collide with the manipulator links). Our workspace paths are generated such that a distance metric between them is maximized, allowing them to span different workspace regions. Manipulator planners mostly focus on solving the problem by analyzing the configuration space (e.g. Jacobian-based methods); our approach focuses on analyzing alternative workspace paths which are comparable to the optimal solution in terms of length. This paper introduces our intuitive algorithm and also presents the results of a series of experiments performed with a simulated 7 DOF robotic arm. en_US
dc.identifier.uri http://hdl.handle.net/1853/44264
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries GT-GOLEM-2012-003 en_US
dc.subject Path diversity en_US
dc.subject Path planning en_US
dc.subject Redundant manipulators en_US
dc.title Diverse Workspace Path Planning for Robot Manipulators en_US
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.corporatename Humanoid Robotics Laboratory
local.contributor.corporatename College of Computing
local.relation.ispartofseries Humanoid Robotics Laboratory Technical Report Series
relation.isOrgUnitOfPublication 05bf85fb-965e-425d-af8b-dbf56e0d9797
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication e2b4b849-c3fb-4761-b071-c47f921fc942
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