Towards 5G-Aware Robot Planning for Industrial Applications
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 multiple robots to execute control tasks with differentiated quality-of-se...
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| Veröffentlicht in: | 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) S. 1 - 8 |
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06.09.2022
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| 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 multiple robots to execute control tasks with differentiated quality-of-service (QoS) features. However, there has been limited analysis of the impact of real 5G capabilities on multi-agent robot planning problems. In this paper, we provide a review of robot planning algorithms suitable for industrial use-cases, which consider communication aspects in the planning formulation. The paper is further positioned to identify gaps in existing state of the art within communication-aware planning. This is followed by an analysis of key challenges to be targeted at the intersection of 5G, Industry 4.0 and multi-agent robot planning. This analysis is strategically important and would prove useful to academic researchers and industry experts focusing on deployment of robots in industrial settings. |
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| 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 multiple robots to execute control tasks with differentiated quality-of-service (QoS) features. However, there has been limited analysis of the impact of real 5G capabilities on multi-agent robot planning problems. In this paper, we provide a review of robot planning algorithms suitable for industrial use-cases, which consider communication aspects in the planning formulation. The paper is further positioned to identify gaps in existing state of the art within communication-aware planning. This is followed by an analysis of key challenges to be targeted at the intersection of 5G, Industry 4.0 and multi-agent robot planning. This analysis is strategically important and would prove useful to academic researchers and industry experts focusing on deployment of robots in industrial settings. |
| 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 |
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| 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... |
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| SubjectTerms | 5G mobile communication Industry 4.0 multi-agent system Network slicing Path planning Planning Quality of service Robot kinematics robot planning Service robots smart factory wireless networks |
| Title | Towards 5G-Aware Robot Planning for Industrial Applications |
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