AI, Robotics, and the Future of Waste Management: A Systematic Review of Advanced Collection and Sorting Systems

Year : 2025 | Volume : 03 | Issue : 01 | Page : 1 6
    By

    T. Rumaiza,

  • Banu Priya M,

  1. Student, Department of Computer Applications, Nilgiri College of Arts and Science, Thaloor, Tamil Nadu, India
  2. Professor, Department of Computer Applications, Nilgiri College of Arts and Science, Thaloor, Tamil Nadu, India

Abstract

The rapid growth of cities and rise in population have made waste management a major concern that calls for innovative and efficient solutions. Conventional waste collecting techniques are dangerous, time-consuming, and frequently ineffective. The development of automated waste management systems powered by cutting-edge technology like robotics, deep learning, artificial intelligence (AI), and the Internet of Things (IoT) is examined in this study. Vision-based systems, convolutional neural networks (CNN) for garbage identification, IoT enabled smart bins, and solar-powered autonomous cars are just a few of the methods that are examined in a thorough literature analysis. The report emphasizes how well these technologies work to improve waste collection precision, cut down on human labor, and lessen pollution in the environment. However, limitations are noted, including restricted object differentiation, complex navigation, and scalability limitations. The study makes recommendations for future research topics, such as increasing energy economy, refining navigation algorithms, and increasing object identification accuracy. It is not only possible but also crucial to incorporate cutting-edge technologies into waste management systems in order to create cleaner and more intelligent urban settings.

Keywords: Waste management, collection and sorting of waste, artificial intelligence, robotics, robot navigation, IoT in waste collection

[This article belongs to International Journal of Robotics and Automation in Mechanics ]

How to cite this article:
T. Rumaiza, Banu Priya M. AI, Robotics, and the Future of Waste Management: A Systematic Review of Advanced Collection and Sorting Systems. International Journal of Robotics and Automation in Mechanics. 2025; 03(01):1-6.
How to cite this URL:
T. Rumaiza, Banu Priya M. AI, Robotics, and the Future of Waste Management: A Systematic Review of Advanced Collection and Sorting Systems. International Journal of Robotics and Automation in Mechanics. 2025; 03(01):1-6. Available from: https://journals.stmjournals.com/ijram/article=2025/view=222516


References

  1. Akhtar M, Hannan MA, Begum RA, Basri H, Scavino E. Backtracking search algorithm in CVRP models for efficient solid waste collection and route optimization. Waste Manag. 2017 Mar 1;61:117–28.
  2. Fu-Cai Y, Shi-jian H, Hai-liang S, Li-Zhu W. Design of cleaning robot for swimming pools. In: MSIE 2011. 2011 Jan 8. p. 1175–8. IEEE.
  3. Bai J, Lian S, Liu Z, Wang K, Liu D. Deep learning based robot for automatically picking up garbage on the grass. IEEE Trans Consum Electron. 2018;64:382–9. doi:10.1109/TCE.2018.
  4. Bhoir B, Birwadkar S, Chavan S, Vikamsey N, Prabhu A. Modular garbage collector robot. Int J Creat Res Thoughts. 2021;9(5):i872–7.
  5. Tumsare KS, Bhiwgade PA, Halmare AM. Solar based autonomous industrial grade garbage cleaner and dumper robot with blower and scrubber. Int J Creat Res Thoughts. 2021 May;9(5):h493–5.
  6. Vivek DR, J, Nandhini SD, Bharathi EM. Remote Monitored Aqua Garbage Collecting Robot. Int J Adv Res Comput Commun Eng. 2022;11(4). doi:10.17148/IJARCCE.2022.114213.
  7. Prasetyo APP, Rendyansyah D, Siswanti SD, Nurmaini S, Abdurahman. Garbage Collector Robot (Gacobot) Design For Dry Waste Distribution. J Phys Conf Ser. 2020;1500:012103. doi:10.1088/
    1742-6596/1500/1/012103.
  8. Kavya C, Kokila C, Kowsalya M, Maha A, Mutharasu S. Garbage collecting robot using IoT. Int Res J Eng Technol. 2020 Apr;7(4):1505–25.
  9. Varuneshreddy N, Nikhil K. Garbage collection robot on the beach using wireless communications. Int J Res Eng Sci Manag. 2018 Oct;1(10):305–7.
  10. Gupta S, Kruthik HM, Hegde C, Agrawal S, Bhanu Prashanth SB. Gar-Bot: Garbage collecting and segregating robot. J Phys Conf Ser. 2021;1950:012023. doi:10.1088/1742-6596/1950/1/012023.
  11. Fang B, Yu J, Chen Z, Osman AI, Farghali M, Ihara I, et al. Artificial intelligence for waste management in smart cities: A review. Environ Chem Lett. 2023;21:1–31. doi:10.1007/s10311-023-01604-3. PMID: 37362015.
  12. Abdu H, Mohd Noor MH. A survey on waste detection and classification using deep learning. IEEE Access. 2022;10:128151–65. doi:10.1109/ACCESS.2022.3226682.
  13. Hegde BP, Chaitrashree HG, Shilpa KS. Garbage collection robot using image processing. Int Res J Mod Eng Technol Sci. 2022;4(6):5723–5.
  14. Konga S, Pinreddy PCR, Gaddam A, Vijayakumari KH, Kolikipogu RK. Garbage collection and sorting: a review. Int J Emerg Technol Innov Res. 2024 Jan;11(1):h248–h255.
  15. Tiwari VK, Reddy VB, Srivastava S, Garg K. Autonomous garbage collection robot. Int J Res Appl Sci Eng Technol. 2025;13(1):279–81.
  16. Sanjay B, Sanju Vikasini RM. Smart trash collecting and segregating robot. Int J Eng Res Technol. 2020 Nov;9(11):325–8.

Regular Issue Subscription Review Article
Volume 03
Issue 01
Received 26/04/2025
Accepted 24/05/2025
Published 12/06/2025
Publication Time 47 Days


Login


My IP

PlumX Metrics