Title:
From Deliberative to Routine Behaviors: a Cognitively-Inspired Action Selection Mechanism for Routine Behavior Capture

dc.contributor.author Chernova, Sonia
dc.contributor.author Arkin, Ronald C.
dc.contributor.corporatename Georgia Institute of Technology. College of Computing
dc.contributor.corporatename Carnegie-Mellon University. Computer Science Dept.
dc.date.accessioned 2008-03-21T17:17:23Z
dc.date.available 2008-03-21T17:17:23Z
dc.date.issued 2006-11-06
dc.description.abstract Long-term human-robot interaction, especially in the case of humanoid robots, requires an adaptable and varied behavior base. In this work we present a method for capturing, or learning, sequential tasks by transferring serial behavior execution from deliberative to routine control. The incorporation of this approach leads to natural development of complex and varied behaviors, with lower demands for planning, coordination and resources. We demonstrate how this process can be performed autonomously as part of the normal function of the robot, without the need for an explicit learning stage or user guidance. The complete implementation of this algorithm on the Sony QRIO humanoid robot is described. en_US
dc.identifier.uri http://hdl.handle.net/1853/20537
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Autonomous behavior en_US
dc.subject Autonomous humanoid robot en_US
dc.subject Deliberative system en_US
dc.subject Human-robot interaction en_US
dc.subject Robotics en_US
dc.title From Deliberative to Routine Behaviors: a Cognitively-Inspired Action Selection Mechanism for Routine Behavior Capture en_US
dc.type Text
dc.type.genre Paper
dspace.entity.type Publication
local.contributor.author Chernova, Sonia
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)
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