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Structural analysis and optimization of an autonomous robot designed for greenhouse roof cleaning
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  • Article
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  • Published: 27 May 2026

Structural analysis and optimization of an autonomous robot designed for greenhouse roof cleaning

  • Ahmed Amin1,2,
  • Xiaochan Wang1,
  • Guoxiang Sun1,
  • Yinyan Shi1,
  • Yongnian Zhang1,
  • Qianzhe Cheng1,
  • Li Tianhua3,
  • Ahmad Noby4 &
  • …
  • Khaled Abdeen Mousa Ali5,6 

Scientific Reports (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Engineering
  • Mathematics and computing
  • Mechanical engineering

Abstract

Traditional greenhouse cleaning methods are labor-intensive, prone to human error, and inefficient, often compromising light transmittance and productivity. To address these challenges, this study proposes an autonomous robot designed to clean greenhouse roofs efficiently and reliably. The robot features an integrated cleaning system with adjustable brushes, wipers, and water sprinklers, ensuring optimal performance and significantly improving light transmittance. Powered by a 500 W PV system, it utilizes electric wheels for smooth, stable movement and incorporates a replaceable brush-wiper mechanism for enhancing durability and maintenance efficiency. The design process involved SolidWorks modeling for mass properties, CFD simulations with the k-ε turbulence model to evaluate wind load conditions, and ANSYS structural analysis to confirm durability under extreme wind speeds of up to 126 km/h (ten times greater than normal conditions). Structural tested at different robot’s rotational speeds 25 rpm and 50 rpm confirmed optimal performance at 25 rpm, balancing cleaning efficiency and long-term durability. Additionally, the robot incorporates advanced control unit with sensors for autonomous operation, real-time light transmission monitoring, and navigation capabilities, distinguishing it from traditional manual or semi-automated methods. The results demonstrated robust performance in extreme conditions, surpassing existing systems limited to standard weather. The robot’s performance is limited by speed (0.35 m/s), battery life, roof complexity, maintenance, adaptability, and cost, indicating areas for improvement. Future developments will integrate AI for autonomous decision-making, GPS for precise navigation, and a smart cleaning system to optimize performance based on real-time data, further reducing maintenance costs and ensuring optimal greenhouse lighting.

Acknowledgements

Acknowledgments: The authors express their gratitude to Eng. Chen Tang of the College of Engineering, Nanjing Agricultural University, China, for his assistance.

Author information

Authors and Affiliations

  1. College of Engineering, Nanjing Agricultural University, Nanjing, 210032, China

    Ahmed Amin, Xiaochan Wang, Guoxiang Sun, Yinyan Shi, Yongnian Zhang & Qianzhe Cheng

  2. Agricultural Engineering Research Institute (AEnRI)Agricultural Research Center (ARC), Giza, 12311, Egypt

    Ahmed Amin

  3. College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai’an, 271018, Shandong, China

    Li Tianhua

  4. College of Engineering, Al-Azhar University, Cairo, 11884, Egypt

    Ahmad Noby

  5. College of Agricultural Engineering, Al-Azhar University, Cairo, 11651, Egypt

    Khaled Abdeen Mousa Ali

  6. College of Engineering, South China Agricultural University, Guangzhou, 510642, China

    Khaled Abdeen Mousa Ali

Authors
  1. Ahmed Amin
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  2. Xiaochan Wang
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  3. Guoxiang Sun
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  4. Yinyan Shi
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  5. Yongnian Zhang
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  6. Qianzhe Cheng
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  7. Li Tianhua
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  8. Ahmad Noby
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  9. Khaled Abdeen Mousa Ali
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Corresponding authors

Correspondence to Ahmed Amin or Xiaochan Wang.

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The authors declare no competing interests.

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Cite this article

Amin, A., Wang, X., Sun, G. et al. Structural analysis and optimization of an autonomous robot designed for greenhouse roof cleaning. Sci Rep (2026). https://doi.org/10.1038/s41598-025-93687-x

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  • Received: 18 September 2024

  • Accepted: 10 March 2025

  • Published: 27 May 2026

  • DOI: https://doi.org/10.1038/s41598-025-93687-x

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Keywords

  • CFD
  • Greenhouse roof cleaner
  • Robots
  • Structural analysis
  • FEA
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