Gembong Edhi Setyawan

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About

Gembong Edhi Setyawan is a robotics researcher whose work spans unmanned aerial vehicles, multi-robot systems, and biomedical engineering. His most cited paper, "Linear Quadratic Regulator Controller (LQR) for AR. Drone's Safe Landing" (2019, 16 citations), addresses a critical challenge in quadcopter technology—ensuring stable, controlled landings for commercial and developmental UAV applications. Building on this, his 2022 study "Cooperative Multi-Robot Hierarchical Reinforcement Learning" (11 citations) tackles the complex problem of efficient exploration in multi-agent systems, proposing a hierarchical framework that enables robots to operate effectively across diverse domains. Setyawan also contributes to assistive technology, as seen in his 2021 work "Controlling Robot Manipulators as Prototype of Prosthetic Arm using Electromyography Signal Based on Embedded System" (2 citations), which integrates EMG signals with embedded systems to create intuitive prosthetic control. His research demonstrates a clear trajectory from stabilizing individual drones to coordinating robot teams and enhancing human-machine interaction. By combining control theory, reinforcement learning, and biomedical signal processing, Setyawan is advancing practical robotics solutions that bridge autonomous systems and real-world human needs.