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2025 (English)In: 2025 IEEE 22nd Consumer Communications and Networking Conference, CCNC 2025, Institute of Electrical and Electronics Engineers (IEEE) , 2025Conference paper, Published paper (Refereed)
Abstract [en]
With the increasing focus on flexible automation, which emphasizes systems capable of adapting to varied tasks and conditions, exploring future deployments of cloud and edge-based network infrastructures in robotic systems becomes crucial. This work, examines how wireless solutions could support the shift from rigid, wired setups toward more adaptive, flexible automation in industrial environments. We provide a quality of control (QoC) based abstraction for robotic workloads, parameterized on loop latency and reliability, and jointly optimize system performance. The setup involves collaborative robots working on distributed tasks, underscoring how wireless communication can enable more dynamic coordination in flexible automation systems. We use our abstraction to optimally maximize the QoC ensuring efficient operation even under varying network conditions. Additionally, our solution allocates the communication resources in time slots, optimizing the balance between communication and control costs. Our simulation results highlight that minimizing the delay in the system may not always ensure the best QoC but can lead to substantial gains in QoC if delays are sometimes relaxed, allowing more packets to be delivered reliably.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2025
Keywords
collaborative robotics, edge computing, multi-agent systems, quality of control, safety-critical applications
National Category
Robotics and automation Communication Systems Control Engineering
Identifiers
urn:nbn:se:kth:diva-363996 (URN)10.1109/CCNC54725.2025.10976180 (DOI)2-s2.0-105005147175 (Scopus ID)
Conference
22nd IEEE Consumer Communications and Networking Conference, CCNC 2025, Las Vegas, United States of America, Jan 10 2025 - Jan 13 2025
Note
Part of ISBN 9798331508050
QC 20250603
2025-06-022025-06-022025-06-03Bibliographically approved