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TRIMBOT: AUTONOMOUS GRASS CUTTING ROBOT USING GPS NAVIGATION

Authors

  • Athul Das

    Mar Baselios Christian College of Engineering and Technology
    Author
  • Dan Kuruvilla

    Mar Baselios Christian College of Engineering and Technology
    Author
  • Amrutha P Chandran

    Mar Baselios Christian College of Engineering and Technology
    Author
  • Blesson V Monichan

    Mar Baselios Christian College of Engineering and Technology
    Author
  • Elias Janson K

    Mar Baselios Christian College of Engineering and Technology
    Author

Abstract

The integration of GPS technology into autonomous
grass cutting bots represents a significant advancement in the realm
of lawn maintenance. This paper explores the groundbreaking
combination of GPS navigation and solar power in these bots,
showcasing their potential to revolutionize traditional lawn care
methods. By leveraging precise navigation technology, the bots
effortlessly navigate through predetermined GPS coordinates,
ensuring efficient grass cutting with unparalleled accuracy.
Powered by solar energy, they not only demonstrate a commitment
to eco-friendliness but also signal a shift towards widespread
adoption of renewable energy in everyday applications. The paper
discusses how the seamless integration of renewable energy sources
with cutting- edge navigation systems transcends the limitations of
conventional practices, leading to reduced carbon emissions and
ecological footprint.
Through case studies and technical insights, this paper sheds
light on the innovative approach of autonomous grass cutting bots,
offering a glimpse into a greener and more sustainable future for
lawn maintenance practices.

Keywords:

Autonomous grass cutting robot, Solar energy, GPS navigation, Sustainability, Lawn maintenance
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Published

06-08-2025

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Section

Articles

How to Cite

[1]
A. Das, D. Kuruvilla, A. P Chandran, B. V Monichan, and E. Janson K, “TRIMBOT: AUTONOMOUS GRASS CUTTING ROBOT USING GPS NAVIGATION”, IJERA, vol. 4, no. 1, pp. 1–5, Aug. 2025, Accessed: Aug. 13, 2025. [Online]. Available: https://ijera.in/index.php/IJERA/article/view/187

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