Yurisha Goorun

Council for Scientific and Industrial Research

Papers

Total Citations

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About

Yurisha Goorun is a researcher at the forefront of applying artificial intelligence and robotics to tackle the global waste crisis. Her primary research focuses on developing intelligent automation systems for environmental sustainability, with a particular emphasis on robotic waste sorting and deep learning-based object recognition. Goorun’s most notable contribution is her pioneering work on an automated waste sorting system that integrates a stereoscopic camera with a robotic manipulator, enabling real-time classification and physical separation of diverse waste materials. This system, detailed in her 2024 paper "Robotic waste sorting using deep learning," demonstrates how cutting-edge AI can address the inefficiencies of traditional waste management. Although her work is still emerging, it has already garnered attention for its practical, scalable approach to a pressing environmental challenge. By combining computer vision, deep neural networks, and robotics, Goorun is helping to pave the way for smarter, more efficient recycling infrastructure. Her research stands as a compelling example of how engineering and machine learning can directly contribute to solving real-world ecological problems, making her a promising voice in the growing field of sustainable automation.