Slamet Riyadi

Papers

Total Citations

H-Index

About

Slamet Riyadi is a researcher working at the intersection of automation, robotics, and embedded systems, with a particular focus on intelligent vehicle navigation and computer vision applications. His most recognized work, "Pattern Recognition untuk Deteksi Posisi pada AGV Berbasis Raspberry Pi" (2021), demonstrates his commitment to advancing practical robotics solutions for industrial settings. In this study, Riyadi explored the use of pattern recognition techniques implemented on Raspberry Pi hardware to enable precise position detection for Automated Guided Vehicles (AGVs) — robotic transport systems widely used in modern warehousing and manufacturing environments. By leveraging low-cost, accessible computing platforms, his research addresses the dual challenge of achieving high efficiency in both time and labor while keeping implementation costs manageable. The work has garnered 4 citations, reflecting growing interest from the robotics and automation community in affordable, scalable AGV solutions. Riyadi's contributions are particularly relevant for researchers and engineers seeking to bridge the gap between advanced computer vision algorithms and real-world industrial deployment, making him a notable voice in the emerging field of intelligent automation systems.