Abstract:
Smart factories driven by multi-robot systems (MRS) or multi-agent systems (MAS) integrate edge computing, mobile computing, and wireless communications for exceptionally...Show MoreMetadata
Abstract:
Smart factories driven by multi-robot systems (MRS) or multi-agent systems (MAS) integrate edge computing, mobile computing, and wireless communications for exceptionally dynamic, flexible, productive, and resource-efficient manufacturing. With real-time multi-robot task allocation assigning tasks to MRS, MRS executes tasks collaboratively to realize the objectives of smart factories. Ultra-low latency and reliable wireless communication enable such collaborative MRSs in an efficient and resilient manner. On top of time-sensitive multi-link wireless access, this paper takes advantage of social network properties to explore the topology control and channel/resource allocation for the transportation MRS of autonomous mobile robots (AMRs) in a smart factory. To satisfy the minimal latency through proactive communication, adaptive channel allocation occurs concurrently with the formation of social communities based on the robot's geometric trajectories. Computational experiments demonstrate that the proposed methodology delivers a more balanced collision rate and a substantial increase in the average channel access rate compared to what traditional static channel allocation offers.
Date of Conference: 28 May 2023 - 01 June 2023
Date Added to IEEE Xplore: 23 October 2023
ISBN Information:
Electronic ISSN: 1938-1883