Simulation of Autonomous Mobile Robot System for Food Delivery in In-patient Ward with Unity
Logistic management is crucial for effective and efficient transportation of various items in hospitals. During pandemic situations, especially COVID-19, special in-patient cohort ward is established to treat patients who require special treatment due to the quarantine protocol. Autonomous Mobile Ro...
Saved in:
Published in: | 2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) pp. 1 - 6 |
---|---|
Main Authors: | , , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
18-11-2020
|
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Abstract | Logistic management is crucial for effective and efficient transportation of various items in hospitals. During pandemic situations, especially COVID-19, special in-patient cohort ward is established to treat patients who require special treatment due to the quarantine protocol. Autonomous Mobile Robot (AMR) is used for delivering food and medical supplies to individual patients in order to keep the physical distance between patients and health workers. In this research, delivery by using multiple AMRs working in the in-patient ward is simulated. The simulation software is developed in Unity platform to study the operations of AMRs in various scenarios. |
---|---|
AbstractList | Logistic management is crucial for effective and efficient transportation of various items in hospitals. During pandemic situations, especially COVID-19, special in-patient cohort ward is established to treat patients who require special treatment due to the quarantine protocol. Autonomous Mobile Robot (AMR) is used for delivering food and medical supplies to individual patients in order to keep the physical distance between patients and health workers. In this research, delivery by using multiple AMRs working in the in-patient ward is simulated. The simulation software is developed in Unity platform to study the operations of AMRs in various scenarios. |
Author | Worrasittichai, Nitisak Prayongrak, Teeraya Vongbunyong, Supachai Thamrongaphichartkul, Kitti Takutruea, Aphisit Tripathi, Salil Parth |
Author_xml | – sequence: 1 givenname: Supachai surname: Vongbunyong fullname: Vongbunyong, Supachai email: supachai.von@kmutt.ac.th organization: Institute of Field Robotics King Mongkut's University of Technology Thoburi,Bangkok,Thailand – sequence: 2 givenname: Salil Parth surname: Tripathi fullname: Tripathi, Salil Parth email: Parth.tripathi@imt-atlantique.net organization: School of Engineering IMT Atlantique Bretagne-Pays de la Loire,Nantes,France – sequence: 3 givenname: Kitti surname: Thamrongaphichartkul fullname: Thamrongaphichartkul, Kitti email: kitti.th@mail.kmutt.ac.th organization: Institute of Field Robotics King Mongkut's University of Technology Thoburi,Bangkok,Thailand – sequence: 4 givenname: Nitisak surname: Worrasittichai fullname: Worrasittichai, Nitisak email: nitisak.w@mail.kmutt.ac.th organization: Institute of Field Robotics King Mongkut's University of Technology Thoburi,Bangkok,Thailand – sequence: 5 givenname: Aphisit surname: Takutruea fullname: Takutruea, Aphisit email: aphisit.ta@mail.kmutt.ac.th organization: Institute of Field Robotics King Mongkut's University of Technology Thoburi,Bangkok,Thailand – sequence: 6 givenname: Teeraya surname: Prayongrak fullname: Prayongrak, Teeraya email: teeraya.ningg@gmail.com organization: Institute of Field Robotics King Mongkut's University of Technology Thoburi,Bangkok,Thailand |
BookMark | eNotj8tKxDAUQCPoQsf5AjcX961Jm1eXZXS0UB_YETfC0Da3GGiToU2V_r0Dzuac3YFzRc6dd0jILaMxYzS7s1VeRC_lm2CSyzihCY2zVEml-RlZZ0ozKQVnQnBxSb4qO8x9Hax34DvI5-CdH_w8wbNvbI_w7hsfoFqmgAN0foSt9wbusbc_OC5gHRQuOhwD6AJ81qOBXxu-4cPZsFyTi67uJ1yfvCK77cNu8xSVr4_FJi8jyxTlUdYyKmqecIHGJCZrWkGlZqhFrRqhKUXOdYOK01R0baeMNu0RKlFZqjVPV-TmP2sRcX8Y7VCPy_60nP4BfL9R-A |
ContentType | Conference Proceeding |
DBID | 6IE 6IL CBEJK RIE RIL |
DOI | 10.1109/iSAI-NLP51646.2020.9376784 |
DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume IEEE Xplore All Conference Proceedings IEEE Electronic Library Online IEEE Proceedings Order Plans (POP All) 1998-Present |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library Online url: http://ieeexplore.ieee.org/Xplore/DynWel.jsp sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
EISBN | 9781665415545 1665415541 |
EndPage | 6 |
ExternalDocumentID | 9376784 |
Genre | orig-research |
GroupedDBID | 6IE 6IL CBEJK RIE RIL |
ID | FETCH-LOGICAL-i1704-9c105a4245edd2d9bc50681e85a7b5800e448be74035fcf7d8dc7d8727938843 |
IEDL.DBID | RIE |
IngestDate | Thu Jun 29 18:38:24 EDT 2023 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-i1704-9c105a4245edd2d9bc50681e85a7b5800e448be74035fcf7d8dc7d8727938843 |
OpenAccessLink | https://ieeexplore.ieee.org/ielx7/9376788/9376778/09376784.pdf |
PageCount | 6 |
ParticipantIDs | ieee_primary_9376784 |
PublicationCentury | 2000 |
PublicationDate | 2020-Nov.-18 |
PublicationDateYYYYMMDD | 2020-11-18 |
PublicationDate_xml | – month: 11 year: 2020 text: 2020-Nov.-18 day: 18 |
PublicationDecade | 2020 |
PublicationTitle | 2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) |
PublicationTitleAbbrev | iSAI-NLP |
PublicationYear | 2020 |
Publisher | IEEE |
Publisher_xml | – name: IEEE |
Score | 1.8697125 |
Snippet | Logistic management is crucial for effective and efficient transportation of various items in hospitals. During pandemic situations, especially COVID-19,... |
SourceID | ieee |
SourceType | Publisher |
StartPage | 1 |
SubjectTerms | Automated Delivery Autonomous Mobile Robot Batteries COVID-19 Hospital Logistics Hospitals Logistics Mobile robots Simulation Software Transportation |
Title | Simulation of Autonomous Mobile Robot System for Food Delivery in In-patient Ward with Unity |
URI | https://ieeexplore.ieee.org/document/9376784 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NSwMxEA22J08qrfjNHDyadjebNMmx2JYWtBRb0INQNptZWNCNaPfQf2-yXSqCFy8hBEJg8vUmmfeGkFvkLDUDaWnKUFCuBilNlUUa8YxpIVJl6vwp06Wcv6jROMjk3O25MIhYB59hL1Trv3zrsio8lfV1kB5RvEVaUqsdV6vREY0j3S-WwxmdPyxEkMzynh-Lek2HX5lT6otjcvS_IY9J94eBB4v93XJCDrDskNdl8d5k2wKXw7DaBEaCd93h0Rm_u-HJGbeBnQg5eDQKE-csjPAtBF9soShhVtJGSRWe_dqA8AwLAXduu2Q1Ga_up7TJjkCLWEac6sxDozR8XKK1zGqTiWigYlQilUZ4HIje8zIoeZSIPMulVTbzhccrOlGKJ6ekXboSzwgI6_c9Y4YNkpjniT93ROYdIdRG2lxH4px0gmHWHzv9i3Vjk4u_my_JYbB94OvF6oq0N58VXpPWl61u6hn7BvxjmBI |
link.rule.ids | 310,311,782,786,791,792,798,27934,54767 |
linkProvider | IEEE |
linkToHtml | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFA5uHvSksom_zcGj2do0aZPjcBsbbmO4gR6E0SSvUNBGdD3svzfpykTw4iU8AiGQX-97Sb7vIXQHjKYqTgxJKXDCRJySVBggAdNUcp4KVeVPGS2S2YvoD7xMzv2OCwMA1ecz6Hizess3Vpf-qqwrvfSIYA20z5mztmytWkk0DGQ3X_TGZDaZcy-a5WI_GnTqJr9yp1SuY3j0v06PUfuHg4fnO-9ygvagaKHXRf5e59vCNsO9cu05CS54x1Or3P7GT1bZNd7KkGOHR_HQWoP78Oa_X2xwXuBxQWotVfzsVgf2F7HYI89NGy2Hg-XDiNT5EUgeJgEjUjtwlPqnSzCGGqk0D2IRguBporhDguBiLwUJCyKe6SwxwmhXOMQiIyFYdIqahS3gDGFu3M6nVNE4ClkWuZOHaxcKgVSJyWTAz1HLD8zqY6uAsarH5OLv6lt0MFpOJ6vJePZ4iQ79PHj2XiiuUHP9WcI1anyZ8qaavW8ufJtj |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2020+15th+International+Joint+Symposium+on+Artificial+Intelligence+and+Natural+Language+Processing+%28iSAI-NLP%29&rft.atitle=Simulation+of+Autonomous+Mobile+Robot+System+for+Food+Delivery+in+In-patient+Ward+with+Unity&rft.au=Vongbunyong%2C+Supachai&rft.au=Tripathi%2C+Salil+Parth&rft.au=Thamrongaphichartkul%2C+Kitti&rft.au=Worrasittichai%2C+Nitisak&rft.date=2020-11-18&rft.pub=IEEE&rft.spage=1&rft.epage=6&rft_id=info:doi/10.1109%2FiSAI-NLP51646.2020.9376784&rft.externalDocID=9376784 |