Imam Pambudi

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About

Imam Pambudi is a robotics researcher whose work focuses on intelligent autonomous systems for environmental cleanup. His most influential contribution is the development of the “Scooby Smart Trash Can,” a robotic waste-collection system that uses artificial intelligence to autonomously pursue and capture litter. The core innovation behind this system is the **Pursuit Algorithm based on Fuzzy-Cell Decomposition**, a navigation method that allows the robot to efficiently track and retrieve discarded objects in dynamic, unstructured environments. This work, published in 2016, has accumulated over 36 citations across its two closely related papers, demonstrating its relevance to the fields of service robotics and smart city infrastructure. By combining fuzzy logic with spatial decomposition, Pambudi’s algorithm enables a low-cost, reactive trash can to behave like a proactive cleaner—inspired by the cartoon character Scooby-Doo—making environmental robotics both practical and engaging. His research represents a meaningful step toward deploying intelligent, autonomous systems for public sanitation and waste management.