Andi Supriyanto

Papers

Total Citations

H-Index

About

Andi Supriyanto 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 of this innovation is a pursuit algorithm based on Fuzzy-Cell Decomposition, which allows the robot to navigate dynamic environments and efficiently track discarded garbage. This work, detailed in his highly cited 2016 paper (garnering 19 and 17 citations respectively), demonstrates a creative application of fuzzy logic and path-planning to a pressing real-world problem: public-space cleanliness. By drawing inspiration from the playful, persistent behavior of the cartoon character Scooby-Doo, Supriyanto has made robotics more accessible and engaging. His research not only advances the field of autonomous pursuit but also offers a practical, scalable solution for smart waste management, highlighting the potential of AI-driven robots to address environmental challenges in urban and public settings.