File Download

There are no files associated with this item.

Supplementary

Conference Paper: RASCAL: Robotic Arm for Sherds and Ceramics Automated Locomotion

TitleRASCAL: Robotic Arm for Sherds and Ceramics Automated Locomotion
Authors
KeywordsTask Planning
Software Architecture for Robotic and Automation
Field Robots
Issue Date2021
PublisherIEEE Robotics and Automation Society.
Citation
2021 IEEE International Conference on Robotics and Automation (ICRA), Xian, China, 30 May - 5 June 2021 How to Cite?
AbstractCeramics are one of the major sources of information about the past for archaeologists, with a typical archaeological dig unearthing 1000’s of pottery fragments (sherds) each day. However, archaeologists often are not allowed to remove these sherds from their home countries. Therefore, logging data (e.g., mass, color, decoration) in the field is the only way to record valuable information about these sherds. Currently, this laborious process is done manually, using up much of the valuable time at a dig site. This project aims to automate the data collection process, freeing up archaeologists to spend their limited time in the field on other tasks, and to create a large-scale digital database of sherd information, allowing archaeologists to take advantage of new computational tools to make discoveries. The contribution of this paper is an automated system, consisting of several reconfigurable data collection stations and a robotic arm to transport objects between stations, that can rapidly generate a large database of archaeological artifacts. We validate our system in simulation, using high-resolution models of sherds. In other contexts, our system may help to expand the use of automation in materials handling, parts sorting, and more.
DescriptionTuKT4: Manipulation III - Paper TuKT4.1
Persistent Identifierhttp://hdl.handle.net/10722/297258

 

DC FieldValueLanguage
dc.contributor.authorWang, D-
dc.contributor.authorLutz, B-
dc.contributor.authorCobb, PJ-
dc.contributor.authorDames, P-
dc.date.accessioned2021-03-08T07:16:25Z-
dc.date.available2021-03-08T07:16:25Z-
dc.date.issued2021-
dc.identifier.citation2021 IEEE International Conference on Robotics and Automation (ICRA), Xian, China, 30 May - 5 June 2021-
dc.identifier.urihttp://hdl.handle.net/10722/297258-
dc.descriptionTuKT4: Manipulation III - Paper TuKT4.1-
dc.description.abstractCeramics are one of the major sources of information about the past for archaeologists, with a typical archaeological dig unearthing 1000’s of pottery fragments (sherds) each day. However, archaeologists often are not allowed to remove these sherds from their home countries. Therefore, logging data (e.g., mass, color, decoration) in the field is the only way to record valuable information about these sherds. Currently, this laborious process is done manually, using up much of the valuable time at a dig site. This project aims to automate the data collection process, freeing up archaeologists to spend their limited time in the field on other tasks, and to create a large-scale digital database of sherd information, allowing archaeologists to take advantage of new computational tools to make discoveries. The contribution of this paper is an automated system, consisting of several reconfigurable data collection stations and a robotic arm to transport objects between stations, that can rapidly generate a large database of archaeological artifacts. We validate our system in simulation, using high-resolution models of sherds. In other contexts, our system may help to expand the use of automation in materials handling, parts sorting, and more.-
dc.languageeng-
dc.publisherIEEE Robotics and Automation Society. -
dc.relation.ispartofIEEE International Conference on Robotics and Automation (ICRA), 2021-
dc.subjectTask Planning-
dc.subjectSoftware Architecture for Robotic and Automation-
dc.subjectField Robots-
dc.titleRASCAL: Robotic Arm for Sherds and Ceramics Automated Locomotion-
dc.typeConference_Paper-
dc.identifier.emailCobb, PJ: pcobb@hku.hk-
dc.identifier.authorityCobb, PJ=rp02511-
dc.identifier.hkuros321646-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats