IoT Grass Cutting Robot

Year : 2025 | Volume : 12 | Issue : 01 | Page : 41 52
    By

    Nagini Yarramsetty,

  • Venkata Sushma Chinta,

  • D. Sudhiksha,

  • K. Vishrutha Reddy,

  • N. Meenakshi Reddy,

  • Saneela Z,

  • Saryu A. Reddy,

  1. Assistant Professor, Mechanical Engineering Department, Chaitanya Bharathi Institute of Technology, Telangana, India
  2. Assistant Professor, Mechanical Engineering Department, Chaitanya Bharathi Institute of Technology, Telangana, India
  3. Student, Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Telangana, India
  4. Student, Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Telangana, India
  5. Student, Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Telangana, India
  6. Student, Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Telangana, India
  7. Student, Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Telangana, India

Abstract

The demand for efficient and sustainable lawn care solutions has escalated with the increasing urbanization and the need for environmentally friendly practices. In response to this, our group embarked on the development of an innovative IoT-enabled grass cutting robot. This project aims to address the limitations of traditional lawn mowing methods by integrating modern technology to automate and optimize the maintenance process. The proposed grass cutting robot leverages Internet of Things (IoT) principles to enhance functionality and user experience. Equipped with sensors, actuators, and connectivity modules, the robot can autonomously navigate through the lawn, detect obstacles, and adjust its cutting pattern accordingly. Real-time data acquisition enables remote monitoring and control, empowering users to manage their lawn care tasks conveniently through a mobile application or web interface.

Keywords: Internet of Things, L298N driver, brushed DC motor, brushless DC motor, RS555 motor

[This article belongs to Journal of Mechatronics and Automation ]

How to cite this article:
Nagini Yarramsetty, Venkata Sushma Chinta, D. Sudhiksha, K. Vishrutha Reddy, N. Meenakshi Reddy, Saneela Z, Saryu A. Reddy. IoT Grass Cutting Robot. Journal of Mechatronics and Automation. 2025; 12(01):41-52.
How to cite this URL:
Nagini Yarramsetty, Venkata Sushma Chinta, D. Sudhiksha, K. Vishrutha Reddy, N. Meenakshi Reddy, Saneela Z, Saryu A. Reddy. IoT Grass Cutting Robot. Journal of Mechatronics and Automation. 2025; 12(01):41-52. Available from: https://journals.stmjournals.com/joma/article=2025/view=203731


References

  1. Ferri G, et al. Autonomous Navigation Systems for Robotic Lawn Mowers. J Field Robot. 2017; 34(7): 1332–1351.
  2. Khan A, et al. Machine Vision in Robotic Lawn Mowers. Robotics and Autonomous Systems. 2020.
  3. Nare Karapetyan, Adam Braude, Jason Moulton, Burstein Joshua A, Scott White, O’Kane Jason M. Riverine Coverage with an Autonomous Surface Vehicle over Known Environments. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2019; 3098–3104.
  4. Park J, et al. IoT-Based Control Systems for Home Automation. Int J Smart Home. 2018; 12(3): 1–14.
  5. Singh R, Singh Predictive Maintenance Using IoT Data Analytics. Journal of Industrial Information Integration. 2021.
  6. Zhang Y, et Battery Management Systems for Autonomous Robots. Energy Storage and Management. 2019.
  7. Ahmed S, et Integration of Solar Panels in Robotic Lawn Mowers. Renewable Energy Journal. 2020.
  8. García P, González Safety Features in Robotic Lawn Mowers. Safety Science. 2016.
  9. Leite F, et (2022). Path-Planning Algorithms for Robotic Mowers. Computational Intelligence.
  10. Aljamal M, Patel S, Mahmood A. Comprehensive Review of Robotics Operating System-Based Reinforcement Learning in Robotics. Applied Sciences. 2025 Feb 11;15(4):1840.
  11. National Center for Education Statistics (NECS). STEM Attrition: College Students’ Paths Into and Out of STEM Fields. [Online] Available: http://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=20
  12. Blázquez M, Castro M, Tovar E, Llamas M, Plaza I, Meier Are engineering students decreasing? A Spanish case study. Global Engineering Education Conference (EDUCON) 2011 IEEE. 2011 Apr; 242–251.
  13. Jamieson P, Herdtner More missing the Boat — Arduino Raspberry Pi and small prototyping boards and engineering education needs them. 2015 IEEE Frontiers in Education Conference (FIE). 2015 Oct; 1–5.
  14. Plaza P, Sancristobal E, Carro G, Castro M, Blazquez Scratch day to introduce robotics. 2018 IEEE Global Engineering Education Conference (EDUCON). 2018 Jun; 208–216.
  15. Ertmer PA, Ross EM, Gopalakrishnan Technology-using teachers: How powerful visions and student-centered beliefs fuel exemplary practice. In: Society for Information Technology & Teacher Education International Conference: Proceedings of SITE 2000. 2000; 1518–1525. [Online]. Available: http://www.edcipurdue.edu/ertmer/docs/SITE2_2000.pdf.
  16. Gülbahar Y, Tinmaz H. Implementing Project-Based Learning And E-Portfolio Assessment In an Undergraduate Course. J Res Technol Educ. 2006; 38(3): 309–327.
  17. Blumenfeld P, Soloway E, Marx R, Krajcik J, Guzdial M, Palincsar A. Motivating Project-Based Learning: Sustaining the Doing Supporting the Learning. Educ Psychol. 1991; 26(3): 369–398.
  18. 1 Hadim H, Esche S. Enhancing the engineering curriculum through project-based learning. IEEE 32nd Annual Frontiers in Education. 2002 Nov; F3F–F3F.
  19. Livingstone D, Lynch K. Group Project Work and Student- centred Active Learning: Two different experiences. Stud High Educ. 2000; 25(3): 325–345.
  20. Edwards C. Not-so-humble Raspberry Pi gets big ideas. Engineering & Technology. 2013 Apr; 8(3): 30–33.
  21. Jann Ingmire. (2015 Apr 29). Learning by doing helps students perform better in science. [Online]. Available: https://news.uchicago.edu/story/learning-doing-helps-students-perform-better-science.
  22. Callaghan V. Buzz-Boarding; In Practical Support for Teaching Computing Based on the Internet-of-Things. Proceedings of the 1st Annual Conference on the Aiming for Excellence in STEM Learning and Teaching. 2012 Apr 12–13.
Regular Issue Subscription Review Article
Volume 12
Issue 01
Received 23/12/2024
Accepted 14/01/2025
Published 28/01/2025
Publication Time 36 Days
298

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