Title:
Behavior-Based Mobile Manipulation for Drum Sampling

dc.contributor.author Arkin, Ronald C.
dc.contributor.author MacKenzie, Douglas Christopher
dc.contributor.corporatename Georgia Institute of Technology. College of Computing
dc.contributor.corporatename Georgia Institute of Technology. Mobile Robot Laboratory
dc.date.accessioned 2008-05-16T20:18:07Z
dc.date.available 2008-05-16T20:18:07Z
dc.date.issued 1996
dc.description.abstract This paper describes an implementation of a behavior-based mobile manipulator capable of autonomously transferring a sample from one drum to a second in unstructured environments. A major contribution of the project was the coherent integration of the arm and base as a cohesive unit, and not just a mobile base with an arm attached. The support for smooth simultaneous operation of all joints on the vehicle facilitated biologically plausible motions, such as arm preshaping. The behavior-based controller used a pseudo-force model, where behaviors add forces and torques to joints and limbs resulting in coordinated motion. The vehicle Jacobian is used to convert the pseudo-forces into joint torques and a pseudo-damping model converts the joint torques into joint velocities. This process allows rapid control of the manipulator without the use of inverse kinematics. A drum sampling task is presented where the vehicle demonstrates how a sample of material could be moved from one drum to another, illustrating the efficacy of the solution. en_US
dc.identifier.uri http://hdl.handle.net/1853/21764
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Drum sampling en_US
dc.subject Mobile manipulator en_US
dc.subject Pseudo forces en_US
dc.title Behavior-Based Mobile Manipulation for Drum Sampling en_US
dc.type Text
dc.type.genre Paper
dspace.entity.type Publication
local.contributor.author Arkin, Ronald C.
local.contributor.corporatename College of Computing
local.contributor.corporatename Mobile Robot Laboratory
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
relation.isAuthorOfPublication e853e35f-f419-4348-9619-6f0c7abef2c7
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isOrgUnitOfPublication 488966cd-f689-41af-b678-bbd1ae9c01d4
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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