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The Twinning Technique of the SyncLMKD Method

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Robotics, Computer Vision and Intelligent Systems (ROBOVIS 2024)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2077))

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Abstract

This article introduces a novel technique for establishing a Digital Twin counterpart twinning methodology, aiming to attain elevated fidelity levels for mobile robots. The proposed technique, denominated as Synchronization Logarithmic Mean Kinematic Difference (SyncLMKD), is elucidated in detail within the confines of this study. Addressing the diverse fidelity requirements intrinsic to Industry 4.0’s dynamic landscape necessitates a sophisticated numerical method. The SyncLMKD technique, being numerical, facilitates the dynamic and decoupled adjustment of compensations about trajectory planning. Consequently, this numerical methodology empowers the definition of various degrees of freedom when configuring environmental layouts. Moreover, this technique incorporates considerations such as the predictability of distances between counterparts and path planning. The article also comprehensively explores tuning control, insights, metrics, and control strategies associated with the SyncLMKD approach. Experimental validations of the proposed methodology were conducted on a virtual platform designed to support the SyncLMKD technique, affirming its efficacy in achieving the desired level of high fidelity for mobile robots across diverse operational scenarios.

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Notes

  1. 1.

    Simulation dataset - https://github.com/facardoso-sudo/2024.

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Author information

Authors and Affiliations

  1. Federal Institute of Paraná (IFPR), Ivaiporã, Paraná, 86870-000, Brazil

    Fabiano Stingelin Cardoso

  2. Federal University of Technology – Parana (UTFPR), Curitiba, Paraná, 80230-901, Brazil

    Ronnier Frates Rohrich & André Schneider de Oliveira

Authors
  1. Fabiano Stingelin Cardoso
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  2. Ronnier Frates Rohrich
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  3. André Schneider de Oliveira
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Corresponding author

Correspondence to André Schneider de Oliveira .

Editor information

Editors and Affiliations

  1. Polytechnic Institute of Setubal, Setúbal, Portugal

    Joaquim Filipe

  2. Biomimetics and Intelligent Systems, University of Oulu, OULU, Finland

    Juha Röning

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cardoso, F.S., Rohrich, R.F., de Oliveira, A.S. (2024). The Twinning Technique of the SyncLMKD Method. In: Filipe, J., Röning, J. (eds) Robotics, Computer Vision and Intelligent Systems. ROBOVIS 2024. Communications in Computer and Information Science, vol 2077. Springer, Cham. https://doi.org/10.1007/978-3-031-59057-3_27

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  • DOI: https://doi.org/10.1007/978-3-031-59057-3_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-59056-6

  • Online ISBN: 978-3-031-59057-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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