Budi Rahmadya

Papers

Total Citations

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About

Budi Rahmadya’s research sits at the intersection of robotics, logistics, and radio-frequency identification (RFID) systems, with a particular focus on solving real-world operational challenges. His most cited work proposes a framework to determine secure distances for drones or robots used in inventory management, specifically addressing how ultrahigh-frequency (UHF) RFID readers interact with metallic objects. By preventing unwanted changes in received signal strength indicator (RSSI) values, this framework helps ensure reliable data collection in automated warehouses—a critical contribution as drone-based logistics expands. With 22 citations, this paper reflects growing interest in robust, interference-free automation. Earlier, Rahmadya contributed to bipedal robotics by applying inverse kinematics to control leg movements, using six servo motors and an Arduino Uno to enable stable walking. That work, with 8 citations, demonstrates his hands-on approach to mechatronics and control systems. Together, these contributions highlight a career dedicated to bridging theoretical modeling and practical deployment, making Rahmadya a notable figure in the development of secure, efficient robotic systems for industrial and inventory applications.