Nur Mukhammad Zaidatur Rochman

Papers

Total Citations

H-Index

About

Nur Mukhammad Zaidatur Rochman is a robotics researcher whose work brings artificial intelligence to real-world environmental challenges. His primary research focuses on intelligent robotic systems, particularly autonomous trash-collecting robots that can actively pursue and capture litter. Rochman’s most notable contribution is the development of the “Scooby Smart Trash Can,” a robotic bin equipped with a pursuit algorithm based on fuzzy-cell decomposition. This algorithm allows the robot to intelligently navigate its environment and chase after discarded garbage, much like the playful cartoon character Scooby-Doo. His foundational paper on this system has accumulated 36 citations across two closely related publications, demonstrating steady interest from the robotics and AI community. By combining fuzzy logic with spatial decomposition techniques, Rochman has advanced the field of autonomous environmental cleanup, creating a practical application that addresses the growing problem of litter in public spaces. His work exemplifies how robotics and artificial intelligence can be harnessed for social good, inspiring further research into autonomous waste management systems that can operate without direct human supervision.