Puput Dani Prasetyo Adi

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About

Dr. Puput Dani Prasetyo Adi is a pioneering researcher in the intersection of embedded systems, robotics, and the Internet of Things (IoT), with a particular focus on low-cost, accessible hardware platforms. His work centers on developing practical, real-time control and recognition systems using microcontrollers and communication protocols. A key contribution is his highly cited 2020 paper on "Finger Robotic control use M5Stack board and MQTT Protocol based," which has garnered 41 citations. This research advanced the field of teleoperation by demonstrating how a simple M5Stack board, combined with the lightweight MQTT protocol, could reliably control a robotic hand actuator remotely, opening doors for affordable prosthetic and industrial applications. Building on this, his 2022 study on the "Performance evaluation of ESP32 Camera Face Recognition for various projects" (16 citations) critically assessed the capabilities of the ESP32-CAM module for edge-based artificial intelligence. This work provided essential benchmarks for deploying face recognition on resource-constrained devices, influencing the development of smart CCTV and autonomous robots. Dr. Adi’s research is distinguished by its focus on democratizing technology, proving that sophisticated control and AI tasks can be achieved with accessible, off-the-shelf components.