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Energy Utilization Prediction Techniques for Heterogeneous Mobile Robots: A Review

Author

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  • Krystian Góra

    (Institute of Automatic Control, Lodz University of Technology, 90-537 Lodz, Poland)

  • Grzegorz Granosik

    (Institute of Automatic Control, Lodz University of Technology, 90-537 Lodz, Poland)

  • Bartłomiej Cybulski

    (Institute of Automatic Control, Lodz University of Technology, 90-537 Lodz, Poland)

Abstract

The growing significance of mobile robots in a full spectrum of areas of life creates new challenges and opportunities in robotics. One critical aspect to consider is energy utilization, as accurate prediction plays a vital role in a robot’s reliability and safety. Furthermore, precise prediction offers economic advantages, particularly for robotic fleets, where energy management systems can optimize maintenance costs and operational efficiency. The following review describes the state of the art of energy usage prediction for different types of mobile robots, highlights current trends, and analyses algorithms’ complexity (in implementation and execution), accuracy, and universality.

Suggested Citation

  • Krystian Góra & Grzegorz Granosik & Bartłomiej Cybulski, 2024. "Energy Utilization Prediction Techniques for Heterogeneous Mobile Robots: A Review," Energies, MDPI, vol. 17(13), pages 1-17, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:13:p:3256-:d:1427674
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    References listed on IDEAS

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    1. Chiang, Wen-Chyuan & Li, Yuyu & Shang, Jennifer & Urban, Timothy L., 2019. "Impact of drone delivery on sustainability and cost: Realizing the UAV potential through vehicle routing optimization," Applied Energy, Elsevier, vol. 242(C), pages 1164-1175.
    2. Adam Rapalski & Sebastian Dudzik, 2023. "Energy Consumption Analysis of the Selected Navigation Algorithms for Wheeled Mobile Robots," Energies, MDPI, vol. 16(3), pages 1-37, February.
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