Ibnu Faishal

Papers

Total Citations

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About

Ibnu Faishal is a robotics researcher whose work lies at the intersection of autonomous systems, artificial intelligence, and environmental engineering. His most impactful contribution is the development of the "Scooby Smart Trash Can," an intelligent robotic system designed to autonomously capture and clean up litter from the environment. Faishal’s key innovation, the Pursuit Algorithm based on Fuzzy-Cell Decomposition, enables the trash can to dynamically track and intercept discarded waste, mimicking the playful pursuit behavior of the cartoon character Scooby-Doo. This approach combines fuzzy logic with spatial decomposition to create an efficient, real-time navigation and capture strategy for mobile robots in unstructured settings. His work has garnered significant attention, with his seminal paper accumulating 19 and 17 citations respectively, reflecting its influence in the fields of service robotics and smart waste management. Faishal’s research not only advances autonomous pursuit algorithms but also addresses pressing environmental challenges by promoting cleaner public spaces through robotic assistance. His contributions continue to inspire students and researchers exploring the practical applications of AI in everyday life.