Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{190814,
        author = {ARJUN KRISHNA K V and Anjay krishnan and Rohan P R and Sahal Abdul Shukkur and Arun Xavier and Latha Dinesh},
        title = {Waste Collector and Disposing WALL-E Robot},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {5012-5014},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190814},
        abstract = {Rapid urbanization has intensified waste management challenges, resulting in environmental and public health concerns. This paper presents the design and implementation of an autonomous waste-collecting robot inspired by WALL-E. The system integrates Raspberry Pi and Arduino platforms, combining AI-based vision with embedded control. The Raspberry Pi performs waste detection using a lightweight deep learning model, while the Arduino manages navigation, sensor inputs, and actuation. Ultrasonic sensors enable obstacle avoidance, servo-driven claws handle waste collection, and a load-cell mechanism monitors bin capacity for automatic disposal. Experimental results demonstrate reliable autonomous operation with over 85% detection accuracy and approximately one hour of runtime per charge, offering a scalable and cost-effective solution for smart waste management.},
        keywords = {Autonomous robot, waste management, computer vision, embedded systems, Raspberry Pi, Arduino.},
        month = {January},
        }