DEVELOPMENT OF AN AI-POWERED ROBOTIC SYSTEM FOR WASTE SORTINGAND RECYCLING IN NIGERIA

Abstract

An AI-powered robotic system is a robot that utilizes Artificial Intelligence (AI) technologies to carry out tasks independently or with minimal human intervention. These systems rely on AI to analyze data from sensors, make decisions, learn from past experiences, and adapt to changes in their environment, enabling them to perform complex functions autonomously. The increasing volume of waste generated globally, coupled with the growing demand for efficient recycling systems, has highlighted the limitations of traditional manual waste sorting methods. AI-powered robots offer a promising solution to enhance the efficiency, accuracy, and scalability of waste sorting and recycling processes. These robots utilize advanced technologies, including computer vision, machine learning, and robotics, to identify, classify, and sort waste materials in real-time by automating sorting tasks. AI systems can significantly reduce contamination in recycling streams,  improve throughput, and facilitate the recovery of valuable materials, contributing to a more sustainable waste management ecosystem. This paper explores the integration of AI in robotic waste sorting, focusing on key technologies such as deep learning-based object recognition, robotic arm design, and reinforcement learning for process optimization.
Additionally, it examines the challenges and opportunities in implementing AI-powered waste sorting solutions, including cost-effectiveness, scalability, and the potential for human-robot collaboration. The study also examines the ethical and social implications of deploying AI robots in waste management systems. Ultimately,  AI-powered waste sorting technologies offer the potential to revolutionize recycling practices, helping to transition toward a circular economy by increasing recycling rates and reducing the environmental impact of waste.