Title:
PPS-Tags: Physical, Perceptual and Semantic Tags for Autonomous Mobile Manipulation

dc.contributor.author Nguyen, Hai en_US
dc.contributor.author Deyle, Travis en_US
dc.contributor.author Reynolds, Matt S. en_US
dc.contributor.author Kemp, Charles C. en_US
dc.contributor.corporatename Georgia Institute of Technology. Healthcare Robotics Lab en_US
dc.contributor.corporatename Duke University. Dept. of Electrical and Computer Engineering en_US
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines en_US
dc.date.accessioned 2011-03-14T18:34:28Z
dc.date.available 2011-03-14T18:34:28Z
dc.date.issued 2009-10
dc.description Presented at IROS 2009 workshop: Semantic Perception for Mobile Manipulation, 15 October 2009, St. Louis, MO, USA. en_US
dc.description.abstract For many promising application areas, autonomous mobile manipulators do not yet exhibit sufficiently robust performance. We propose the use of tags applied to task-relevant locations in human environments in order to help autonomous mobile manipulators physically interact with the location, perceive the location, and understand the location’s semantics. We call these tags physical, perceptual and semantic tags (PPS-tags). We present three examples of PPS-tags, each of which combines compliant and colorful material with a UHF RFID tag. The RFID tag provides a unique identifier that indexes into a semantic database that holds information such as the following: what actions can be performed at the location, how can these actions be performed, and what state changes should be observed upon task success? We also present performance results for our robot operating on a PPS-tagged light switch, rocker light switch, lamp, drawer, and trash can. We tested the robot performing the available actions from 4 distinct locations with each of these 5 tagged devices. For the light switch, rocker light switch, lamp, and trash can, the robot succeeded in all trials (24/24). The robot failed to open the drawer when starting from an oblique angle, and thus succeeded in 6 out of 8 trials. We also tested the ability of the robot to detect failure in unusual circumstances, such as the lamp being unplugged and the drawer being stuck. en_US
dc.identifier.citation Hai Nguyen, Travis Deyle, Matt Reynolds, and Charles C. Kemp, “PPS-Tags: Physical Perceptual and Semantic Tags for Autonomous Mobile Manipulation,” IROS 2009 workshop: Semantic Perception for Mobile Manipulation, 15 October 2009. en_US
dc.identifier.uri http://hdl.handle.net/1853/37383
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Autonomous mobile manipulators en_US
dc.subject Tags en_US
dc.subject Task-relevant locations in human environments en_US
dc.subject Physical, perceptual and semantic tags en_US
dc.subject PPS-tags en_US
dc.subject RFID tags en_US
dc.subject Semantic database en_US
dc.subject Tagged devices en_US
dc.subject Failure detection en_US
dc.title PPS-Tags: Physical, Perceptual and Semantic Tags for Autonomous Mobile Manipulation en_US
dc.type Text
dc.type.genre Proceedings
dc.type.genre Post-print
dspace.entity.type Publication
local.contributor.author Kemp, Charles C.
local.contributor.corporatename Healthcare Robotics Lab
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
relation.isAuthorOfPublication e4f743b9-0557-4889-a16e-00afe0715f4c
relation.isOrgUnitOfPublication c6394b0e-6e8b-42dc-aeed-0e22560bd6f1
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
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