The growing demand for efficient urban waste management solutions has led to the development of innovative technologies designed to enhance cleanliness and sustainability. This paper presents "AutoClean," an intelligent autonomous garbage collection robot designed to address the challenges of urban waste management. Equipped with advanced sensors, machine learning algorithms, and navigation systems, AutoClean operates autonomously to identify, collect, and sort waste materials from various environments. Its adaptive learning capabilities allow it to optimize its collection routes and handle diverse types of waste, including recyclables and non-recyclables. AutoClean integrates real-time data analysis to improve operational efficiency and reduce the environmental impact of waste management. The robot's performance is evaluated in simulated urban settings, demonstrating its effectiveness in reducing manual labor and increasing the efficiency of waste collection processes. This study highlights AutoClean's potential to transform waste management practices and contribute to cleaner, more sustainable urban environments.

Autonomous Waste Collection, Intelligent Garbage Robot, Urban Waste Management

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