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Towards 5G-Aware Ro...
Towards 5G-Aware Robot Planning for Industrial Applications
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- Jörgensen, Nils (author)
- KTH,Mekatronik och inbyggda styrsystem
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- Kattepur, Ajay (author)
- Ericsson AI Res, Kista, Sweden.
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- Mohalik, Swarup (author)
- Ericsson AI Res, Kista, Sweden.
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- Vulgarakis, Aneta (author)
- Ericsson AI Res, Kista, Sweden.
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- Fersman, Elena (author)
- KTH,Mekatronik och inbyggda styrsystem
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2022
- 2022
- English.
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In: 2022 IEEE 27th international conference on emerging technologies and factory automation (ETFA). - : Institute of Electrical and Electronics Engineers (IEEE).
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
Keyword
- 5G
- Industry 4.0
- multi-agent system
- robot planning
- smart factory
- wireless networks
Publication and Content Type
- ref (subject category)
- kon (subject category)
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