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An Overview of Energies Problems in Robotic Systems

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  • József Vásárhelyi

    (Institute of Automation and Info-Communication, Faculty of Mechanical engineering and Infromatics, University of Miskolc, Egyetemváros, 3515 Miskolc, Hungary
    These authors contributed equally to this work.)

  • Omar M. Salih

    (Institute of Automation and Info-Communication, Faculty of Mechanical engineering and Infromatics, University of Miskolc, Egyetemváros, 3515 Miskolc, Hungary
    Department of Computer Engineering, Technical College, Northern Technical University, Mosul 410002, Iraq
    These authors contributed equally to this work.)

  • Hussam Mahmod Rostum

    (Institute of Automation and Info-Communication, Faculty of Mechanical engineering and Infromatics, University of Miskolc, Egyetemváros, 3515 Miskolc, Hungary
    These authors contributed equally to this work.)

  • Rabab Benotsname

    (Institute of Automation and Info-Communication, Faculty of Mechanical engineering and Infromatics, University of Miskolc, Egyetemváros, 3515 Miskolc, Hungary
    These authors contributed equally to this work.)

Abstract

Considering the current world trends, the most challenging issue industry is facing revolves around how to reduce the power consumption of electronic systems. Since the invention of computers, electrical energy consumption has increased dramatically; this is due to the emergence of new systems in industry. Systems like industrial robots and autonomous vehicles—including electric vehicles (EVs) and unmanned aerial vehicles (UAVs)—have had a great impact in making human life easier but have also led to higher energy consumption. At present, researchers and developers are actively seeking solutions and patents to optimize the energy consumption of the mentioned systems and generate savings, with the goal of reducing their environmental impact and improving their efficiency and effectiveness. From the literature review, papers related to energy optimization and energy consumption are considered vital, and a huge number of research publications and survey papers discuss it. This paper presents a systematic review of the classification and analysis of various methodologies and solutions that have been developed to enhance the energy performance of robotic systems, focusing on industrial robots, autonomous vehicles, and embedded systems. The aim of this research is to provide a reference point for the existing methods, techniques, and technologies that are available. It compares and evaluates different hardware and software methods related to industrial robots, autonomous vehicles, and embedded systems, highlighting the possible future perspectives in the field.

Suggested Citation

  • József Vásárhelyi & Omar M. Salih & Hussam Mahmod Rostum & Rabab Benotsname, 2023. "An Overview of Energies Problems in Robotic Systems," Energies, MDPI, vol. 16(24), pages 1-24, December.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:8060-:d:1300069
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    References listed on IDEAS

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    1. Machura, Philip & Li, Quan, 2019. "A critical review on wireless charging for electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 209-234.
    2. Mokesioluwa Fanoro & Mladen Božanić & Saurabh Sinha, 2022. "A Review of the Impact of Battery Degradation on Energy Management Systems with a Special Emphasis on Electric Vehicles," Energies, MDPI, vol. 15(16), pages 1-29, August.
    3. Ying He & Jiangping Mei & Zhiwei Fang & Fan Zhang & Yanqin Zhao, 2018. "Minimum Energy Trajectory Optimization for Driving Systems of Palletizing Robot Joints," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-26, December.
    4. Xu, Yanzhi & Li, Hanyan & Liu, Haobing & Rodgers, Michael O. & Guensler, Randall L., 2017. "Eco-driving for transit: An effective strategy to conserve fuel and emissions," Applied Energy, Elsevier, vol. 194(C), pages 784-797.
    5. Klaus Rheinberger & Peter Kepplinger & Markus Preißinger, 2021. "Flexibility Control in Autonomous Demand Response by Optimal Power Tracking," Energies, MDPI, vol. 14(12), pages 1-14, June.
    6. Giuseppe Aiello & Rosalinda Inguanta & Giusj D’Angelo & Mario Venticinque, 2021. "Energy Consumption Model of Aerial Urban Logistic Infrastructures," Energies, MDPI, vol. 14(18), pages 1-19, September.
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