Vol. 5 No. 1 (2025): Issue 5
Articles

Simulation of Mobile Robot Delivery System with Dynamic Bayesian Networks

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  • Oliver Johnson,
  • Emily Watson,
  • Anouk Jansen,
  • Thomas Reed
Oliver Johnson
Department of Computer Science and Robotics, University of Central Lancashire, Preston, PR1 2HE, UK
Emily Watson
Institute of Technology and Automation Research, University of Greenwich, Chatham, ME4
Thomas Reed
Centre for Intelligent Systems and Applied Robotics, University of South Wales, Treforest, CF37 1DL, UK

Published 2025-01-05

Keywords

  • Delivery Systems,
  • Mobile Robots,
  • Simulation Techniques,
  • Dynamic Bayesian Networks,
  • Performance Evaluation

How to Cite

Johnson, O., Watson, E., Jansen, A., & Reed, T. (2025). Simulation of Mobile Robot Delivery System with Dynamic Bayesian Networks. Journal of Robotic Systems and Design, 5(1). Retrieved from https://ojs.mri-pub.com/index.php/JRSD/article/view/139

Abstract

Delivery systems with mobile robots have become increasingly popular due to their efficiency in various industries. However, the complexity of such systems demands advanced simulation techniques for performance evaluation and optimization. Current research on this topic mainly focuses on static models, overlooking the dynamic nature of real-world environments. This paper addresses this gap by proposing a novel approach using Dynamic Bayesian Networks to simulate mobile robot delivery systems. The innovative aspect of this work lies in modeling the dynamic interactions between robots, obstacles, and tasks, leading to more accurate and adaptable system performance predictions. The study contributes to the advancement of delivery system simulation technologies, offering new insights into the design and operation of mobile robot delivery systems.

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