International Journal of Advanced Robotics and Automation Technology Original Research

AWPRATOR: Autonomous Waste Picking Robot and Tracking of Routes

  1. Simarpreet Kaur Department of Electronics and Communication Engineering Chandigarh Group of Colleges, Landran Mohali
  2. Preeti Bansal Department of Electronics and Communication Engineering Chandigarh Group of Colleges, Landran Mohali
  3. Nidhi Chahal Department of Electronics and Communication Engineering Chandigarh Group of Colleges, Landran Mohali
  4. Ankit Mondal Department of Electronics and Communication Engineering Chandigarh Group of Colleges, Landran Mohali
  5. Ritika Sharma Department of Electronics and Communication Engineering Chandigarh Group of Colleges, Landran Mohali
  6. Shreyansh Kumar Singh Department of Electronics and Communication Engineering Chandigarh Group of Colleges, Landran Mohali
  7. Vijender Walia Department of Electronics and Communication Engineering Chandigarh Group of Colleges, Landran Mohali
  8. Swati Mehta Department of Electronics and Communication Engineering Chandigarh Group of Colleges, Landran Mohali

Abstract

Traditional waste management systems, especially in urban and semi-urban areas, relies heavily on manual methods like manual collection of waste, and fossil-fuel based garbage trucks. These methods often face many challenges such as inefficient high dependency on human labor, inefficient planning of routes, health risk for sanitation workers, lack of adaptability, real-time decision making. With the increase in the number of smart cities, the need for intelligent, autonomous, and eco-friendly solutions is must. This paper introduces AWPRATOR (Autonomous Waste Picking Robot and Tracking of Routes), a novel approach to automate waste collection through sensor-based navigation, robotic arm for garbage handling, and inbuilt segregation mechanism. It integrates electric mobility and real-time monitoring, ensuring lesser human intervention and improved hygiene standards. The design is modular and scalable, making its deployment suitable for congested urban streets and larger municipal cities as well. The proposed system bridges the gap between semi-automated waste collection and the futuristic fully autonomous, adaptive waste management in smart cities.

Keywords

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