Automation in Waste Management: How AI and Robotics Transforming Waste Sorting and Recycling


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Year : 2025 | Volume : | Issue : | Page : –
    By

    J. V. Pesha,

  • L. M. R. Rangesh,

  • B. Praadap,

  • V. Abhishek,

  • A. Vishnuvardhan,

  1. Student, Department of Robotics and Automation, Manakula Vinayagar Institute of Technology (MVIT), pondicherry University, (pondicherry), Puducherry, India
  2. Student, Department of Robotics and Automation, Manakula Vinayagar Institute of Technology (MVIT), pondicherry University, (pondicherry), Puducherry, India
  3. Student, Department of Robotics and Automation, Manakula Vinayagar Institute of Technology (MVIT), pondicherry University, (pondicherry), Puducherry, India
  4. Student, Department of Robotics and Automation, Manakula Vinayagar Institute of Technology (MVIT), pondicherry University, (pondicherry), Puducherry, India
  5. Assistant Professor, Department of Robotics and Automation, Manakula Vinayagar Institute of Technology (MVIT), pondicherry University, (pondicherry), Puducherry, India

Abstract

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Waste management is a big issue in the modern world, and it gets worse as urbanisation and industry increase. Hazards to the environment and human health result from traditional waste management practices’ inability to effectively classify, recycle, and dispose of garbage. Robotics and artificial intelligence (AI) provide creative ways to improve trash processing, sorting, and collection. This article examines the application of robotics and artificial intelligence (AI) to waste management, emphasising the methods, importance, and possible advantages of each. Robotics, such as autonomous and robotic sorting systems, enable faster, safer, and more accurate handling of waste materials, while AI-driven algorithms improve route optimization, predictive analytics, and recycling accuracy. By increasing recycling rates and decreasing the need for landfilling, these technologies lower operating costs and minimise environmental effects. Additionally, AI’s ability to predict waste generation patterns and optimize resource allocation supports more sustainable waste management practices. But issues including high upfront costs, workforce relocation, and technological adaptation need to be addressed. This paper explores the potential of AI and robotics to revolutionize the waste management industry, presenting a forward-looking perspective on how these technologies can drive efficiency, sustainability, and cost-effectiveness in managing solid waste

Keywords: Solid waste management, Robotics and Automation (RA), Artificial Intelligence (AI), Environmental Sustainability, Recycling, Landfilling, Adaptation

[This article belongs to International Journal of Advanced Control and System Engineering (ijacse)]

How to cite this article:
J. V. Pesha, L. M. R. Rangesh, B. Praadap, V. Abhishek, A. Vishnuvardhan. Automation in Waste Management: How AI and Robotics Transforming Waste Sorting and Recycling. International Journal of Advanced Control and System Engineering. 2025; ():-.
How to cite this URL:
J. V. Pesha, L. M. R. Rangesh, B. Praadap, V. Abhishek, A. Vishnuvardhan. Automation in Waste Management: How AI and Robotics Transforming Waste Sorting and Recycling. International Journal of Advanced Control and System Engineering. 2025; ():-. Available from: https://journals.stmjournals.com/ijacse/article=2025/view=0


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References

  1. C. Anggraeni, C. A. Silaban, M. S. Anggreainy and E. Cahyadi, “Role of Artificial Intelligence in the Management of Food Waste,” 2021 2nd International Conference on Artificial Intelligence and Data Sciences (AiDAS), IPOH, Malaysia, 2021, pp. 1-6, doi: 10.1109/AiDAS53897.2021.9574167.
  2. Central Pollution Control Board, Delhi. Annual Report 2020-21 on Implementation of Solid Waste Management Rules, 2016. [Online]. Available from https://cpcb.nic.in/uploads/MSW/MSW_AnnualReport_2020-21.pdf
  3. David B. Olawade, Oluwaseun Fapohunda, Ojima Z. Wada, Sunday O. Usman, Abimbola O. Ige, Olawale Ajisafe, Bankole I. Oladapo. Smart waste management: A paradigm shift enabled by artificial intelligence. Waste Management Bulletin. Volume 2, Issue 2, June 2024, Pages 244-263
  4. Fang, B., Yu, J., Chen, Z. et al.Artificial intelligence for waste management in smart cities: a review. Environ Chem Lett 21, 1959–1989 (2023). https://doi.org/10.1007/s10311-023-01604-3 .
  5. Czekała, W., Drozdowski, J., & Łabiak, P. (2023). Modern Technologies for Waste Management: A Review. Applied Sciences, 13(15), 8847. https://doi.org/10.3390/app13158847
  6. Markku Suomalainen, Yiannis Karayiannidis, Ville Kyrki. A survey of robot manipulation in contact. Robotics and Autonomous Systems. Volume 156, October 2022, 104224
  7. Abderrahim Lakhouit. Revolutionizing urban solid waste management with AI and IoT: A review of smart solutions for waste collection, sorting, and recycling. Results in Engineering. Volume 25, March 2025, 104018
  8. S. Bharadwaj, R. Rego and A. Chowdhury, “IoT based solid waste management system: A conceptual approach with an architectural solution as a smart city application,” 2016 IEEE Annual India Conference (INDICON), Bangalore, India, 2016, pp. 1-6, doi: 10.1109/INDICON.2016.7839147.
  9. Dabholkar A, Muthiyan B, Srinivasan S, Ravi S, Jeon H, Gao J. Smart illegal dumping detection. In2017 IEEE Third International Conference on Big Data Computing Service and Applications (BigDataService) 2017 Apr 6 (pp. 255-260). IEEE.
  10. Lu W, Chen J. Computer vision for solid waste sorting: A critical review of academic research. Waste Management. 2022 Apr 1; 142:29-43.
Regular Issue Subscription Review Article
Volume
Issue
Received 28/09/2024
Accepted 11/01/2025
Published 10/02/2025
171