RoboPlan5G: Coordinating Cloud-Controlled Mobile Robots with 5G Network Configuration
With the emergence of Industry 4.0, comes an increasing need for multi-robot coordination and communication to efficiently complete joint tasks. A critical technology is the fifth generation (5G) mobile network, which enables cloud-controlled robots to execute tasks with differentiated quality-of-se...
Gespeichert in:
| Veröffentlicht in: | Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) S. 1 - 8 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
12.09.2023
|
| Schlagworte: | |
| ISSN: | 1946-0759 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | With the emergence of Industry 4.0, comes an increasing need for multi-robot coordination and communication to efficiently complete joint tasks. A critical technology is the fifth generation (5G) mobile network, which enables cloud-controlled robots to execute tasks with differentiated quality-of-service (QoS) features. While there has been significant research on multi-robot planning, the integration with the capabilities of realistic network systems has been limited. In this paper, we introduce RoboPlan5G, a framework for 5G-aware robot planning. We propose a joint state-search model that includes task planning coordination in conjunction with 5G physical resource block (PRB) allocation. This process ensures efficient usage of the limited indoor 5G spectrum and effective service performance, while still aiming for the completion of tasks in the shortest possible time frame. Scenarios are generated in an Industry 4.0 environment, where the planner is shown to decrease the required 5G spectrum allocation by 50%, and on average improve the plan quality by 45% while maintaining a small computation time. |
|---|---|
| AbstractList | With the emergence of Industry 4.0, comes an increasing need for multi-robot coordination and communication to efficiently complete joint tasks. A critical technology is the fifth generation (5G) mobile network, which enables cloud-controlled robots to execute tasks with differentiated quality-of-service (QoS) features. While there has been significant research on multi-robot planning, the integration with the capabilities of realistic network systems has been limited. In this paper, we introduce RoboPlan5G, a framework for 5G-aware robot planning. We propose a joint state-search model that includes task planning coordination in conjunction with 5G physical resource block (PRB) allocation. This process ensures efficient usage of the limited indoor 5G spectrum and effective service performance, while still aiming for the completion of tasks in the shortest possible time frame. Scenarios are generated in an Industry 4.0 environment, where the planner is shown to decrease the required 5G spectrum allocation by 50%, and on average improve the plan quality by 45% while maintaining a small computation time. |
| Author | Vulgarakis, Aneta Kattepur, Ajay Fersman, Elena Jorgensen, Nils Mohalik, Swarup |
| Author_xml | – sequence: 1 givenname: Nils surname: Jorgensen fullname: Jorgensen, Nils email: nilsjor@kth.se organization: KTH Royal Institute of Technology,School of Industrial Engineering and Management,Stockholm,Sweden – sequence: 2 givenname: Ajay surname: Kattepur fullname: Kattepur, Ajay email: ajay.kattepur@ericsson.com organization: Ericsson AI Research – sequence: 3 givenname: Swarup surname: Mohalik fullname: Mohalik, Swarup organization: Ericsson AI Research – sequence: 4 givenname: Aneta surname: Vulgarakis fullname: Vulgarakis, Aneta organization: Ericsson AI Research – sequence: 5 givenname: Elena surname: Fersman fullname: Fersman, Elena organization: KTH Royal Institute of Technology,School of Industrial Engineering and Management,Stockholm,Sweden |
| BookMark | eNo10N1KwzAYxvEoCs7ZOxDMDbQmzVfj2ShbFeYHsh2PdHkzozWRtGPs7q2oR8_R7zn4X6KzEAMgdENJQSnRt_PVYia4ZLQoSckKSkoleElOUKaVrpggjGlNq1M0oZrLnCihL1DW9--EkNFLzfQErV9jG186E0Rzh-sYk_XBDD7scN3Fvc3rGIYUuw4sfoyt7wD_gKHHBz-8YdHgJxgOMX2MNji_26cRx3CFzp3pesj-dorWi_mqvs-Xz81DPVvmngrFc-eMa0XJ1RbkVkklmODKVA4MOCWhVMZx5yoLTEijFeHKWm7blo2sdSDYFF3__noA2Hwl_2nScfNfgn0Du09WEQ |
| ContentType | Conference Proceeding |
| DBID | 6IE 6IL CBEJK RIE RIL |
| DOI | 10.1109/ETFA54631.2023.10275420 |
| DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Xplore POP ALL IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP All) 1998-Present |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| EISBN | 9798350339918 |
| EISSN | 1946-0759 |
| EndPage | 8 |
| ExternalDocumentID | 10275420 |
| Genre | orig-research |
| GroupedDBID | 6IE 6IF 6IK 6IL 6IN AAJGR AAWTH ABLEC ADZIZ ALMA_UNASSIGNED_HOLDINGS BEFXN BFFAM BGNUA BKEBE BPEOZ CBEJK CHZPO IEGSK IPLJI M43 OCL RIE RIL RNS |
| ID | FETCH-LOGICAL-i1574-ffafb5247ce6c76753547a8feaef76e27af4ff8de356a97047dd4dbb3afbbfe53 |
| IEDL.DBID | RIE |
| IngestDate | Wed Aug 27 02:49:33 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-i1574-ffafb5247ce6c76753547a8feaef76e27af4ff8de356a97047dd4dbb3afbbfe53 |
| PageCount | 8 |
| ParticipantIDs | ieee_primary_10275420 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-Sept.-12 |
| PublicationDateYYYYMMDD | 2023-09-12 |
| PublicationDate_xml | – month: 09 year: 2023 text: 2023-Sept.-12 day: 12 |
| PublicationDecade | 2020 |
| PublicationTitle | Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) |
| PublicationTitleAbbrev | ETFA |
| PublicationYear | 2023 |
| Publisher | IEEE |
| Publisher_xml | – name: IEEE |
| SSID | ssj0001096939 |
| Score | 2.2313402 |
| Snippet | With the emergence of Industry 4.0, comes an increasing need for multi-robot coordination and communication to efficiently complete joint tasks. A critical... |
| SourceID | ieee |
| SourceType | Publisher |
| StartPage | 1 |
| SubjectTerms | 5G mobile communication Fourth Industrial Revolution Industry 4.0 multi-agent system Planning Production facilities Quality of service Robot kinematics robot planning Service robots smart factory |
| Title | RoboPlan5G: Coordinating Cloud-Controlled Mobile Robots with 5G Network Configuration |
| URI | https://ieeexplore.ieee.org/document/10275420 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1La8MwDDZb2WGnbaxjb3zY1d3iR5zsNkLbXVbKaKG3YsdyCZRktM1-f-WkXdlhh90cg0iQLPxJkfQR8uS4sNLplEXeWya1s8wakbIkdjxHwBCbxDVkE3o0SmazdLxrVm96YQCgKT6DXlg2__JdldchVYYezgNhK0box1rrtlnrkFBBMJ6KdFfDhU_P_cngLUx7D2EgF7299C8eleYaGZz98wPOSffQkEfHP1fNBTmC8pJMPytbBdIhNXylWYVRZBFSe-WCZsuqdixrq9CX4OhHZdH7aRDYrGnIvVI1pKO2BJyGlxSLuj0LXTId9CfZO9uxJLAiUloy7423ikudQ5yH0SxCSW0SDwa8joFr46X3iQOhYpPqF7SHk85agWLWgxJXpFNWJVwTyjW6Izp5anQifYTgW9oYAWJuYsQFEdyQbtDJ_KsdhDHfq-P2j_07cho0zxrGhXvS2axqeCAn-femWK8eG_NtAZm7m_Y |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwEA-igj6pOPHbPPiaafPRtL5J2Ye4lSEb7G0kzWUURivb6t9v0m4OH3zwLQ0cLbkc97vr3f0QejSUaW5kTAJrNeHSaKIVi0kUGpo5wBCqyNRkEzJNo-k0Hm2a1eteGACoi8-g7Zf1v3xTZpVPlTkLp56w1UXoB4JzGjTtWruUioPjMYs3VVzu6akz7r76ee8-EKSsvZX_xaRSO5LuyT8_4RS1di15ePTjbM7QHhTnaPJR6tLTDoneC05KF0fmPrlXzHGyKCtDkqYOfQEGD0vt7B97gfUK--wrFj2cNkXg2L8kn1fNbWihSbczTvpkw5NA8kBITqxVVgvKZQZh5oezMMGliiwosDIEKpXl1kYGmAhVLJ-dRgw3WjMnpi0IdoH2i7KAS4SpdAbpzDxWMuI2cPCb69BBxEyFDhkEcIVa_kxmn80ojNn2OK7_2H9AR_3xcDAbvKXvN-jYa4HU_Au3aH-9rOAOHWZf63y1vK9V-Q3nMp89 |
| 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=Proceedings+%28IEEE+International+Conference+on+Emerging+Technologies+and+Factory+Automation%29&rft.atitle=RoboPlan5G%3A+Coordinating+Cloud-Controlled+Mobile+Robots+with+5G+Network+Configuration&rft.au=Jorgensen%2C+Nils&rft.au=Kattepur%2C+Ajay&rft.au=Mohalik%2C+Swarup&rft.au=Vulgarakis%2C+Aneta&rft.date=2023-09-12&rft.pub=IEEE&rft.eissn=1946-0759&rft.spage=1&rft.epage=8&rft_id=info:doi/10.1109%2FETFA54631.2023.10275420&rft.externalDocID=10275420 |