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Towards a Framework for Dynamic Task Offloading in Real-Time Robotic Applications

Balador, Ali ; Ashjaei, Mohammad ; Umar, Madiha ; Al Bayati, Ahmed LU orcid ; Williams, Andrew ; Mubeen, Saad ; Mini, Raquel LU ; Nilsson, Klas LU orcid and Arzen, Karl Erik LU orcid (2025) 30th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2025
Abstract

Dynamic task offloading is essential for real-time robotic applications, enabling them to adapt to fluctuating computational demands and maintain efficiency under changing conditions. This paper introduces a dynamic task offloading framework that incorporates monitoring, decision making, offloading triggering, and performance monitoring to optimize resource usage by offloading real-time tasks to edge and cloud servers. A use case from the manufacturing industry demonstrates the framework's application, enhancing robotic functions like motion planning. WebAssembly enables the execution of the robotics application across diverse environments, improving both portability and computational efficiency. By addressing key challenges, this work... (More)

Dynamic task offloading is essential for real-time robotic applications, enabling them to adapt to fluctuating computational demands and maintain efficiency under changing conditions. This paper introduces a dynamic task offloading framework that incorporates monitoring, decision making, offloading triggering, and performance monitoring to optimize resource usage by offloading real-time tasks to edge and cloud servers. A use case from the manufacturing industry demonstrates the framework's application, enhancing robotic functions like motion planning. WebAssembly enables the execution of the robotics application across diverse environments, improving both portability and computational efficiency. By addressing key challenges, this work sets the stage for future offloading frameworks to meet the evolving needs of robotic systems.

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Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2025 IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
editor
Almeida, Luis ; Indria, Marina ; de Sousa, Mario ; Visioli, Antonio ; Ashjaei, Mohammad and Santos, Pedro
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
30th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2025
conference location
Porto, Portugal
conference dates
2025-09-09 - 2025-09-12
external identifiers
  • scopus:105021828625
ISBN
9798331553838
DOI
10.1109/ETFA65518.2025.11205717
language
English
LU publication?
yes
id
eff2a35f-af7d-4c3a-b388-5933ed36de28
date added to LUP
2026-02-10 14:14:32
date last changed
2026-02-10 14:15:35
@inproceedings{eff2a35f-af7d-4c3a-b388-5933ed36de28,
  abstract     = {{<p>Dynamic task offloading is essential for real-time robotic applications, enabling them to adapt to fluctuating computational demands and maintain efficiency under changing conditions. This paper introduces a dynamic task offloading framework that incorporates monitoring, decision making, offloading triggering, and performance monitoring to optimize resource usage by offloading real-time tasks to edge and cloud servers. A use case from the manufacturing industry demonstrates the framework's application, enhancing robotic functions like motion planning. WebAssembly enables the execution of the robotics application across diverse environments, improving both portability and computational efficiency. By addressing key challenges, this work sets the stage for future offloading frameworks to meet the evolving needs of robotic systems.</p>}},
  author       = {{Balador, Ali and Ashjaei, Mohammad and Umar, Madiha and Al Bayati, Ahmed and Williams, Andrew and Mubeen, Saad and Mini, Raquel and Nilsson, Klas and Arzen, Karl Erik}},
  booktitle    = {{2025 IEEE International Conference on Emerging Technologies and Factory Automation, ETFA}},
  editor       = {{Almeida, Luis and Indria, Marina and de Sousa, Mario and Visioli, Antonio and Ashjaei, Mohammad and Santos, Pedro}},
  isbn         = {{9798331553838}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Towards a Framework for Dynamic Task Offloading in Real-Time Robotic Applications}},
  url          = {{http://dx.doi.org/10.1109/ETFA65518.2025.11205717}},
  doi          = {{10.1109/ETFA65518.2025.11205717}},
  year         = {{2025}},
}