Anggi Andriyadi
Papers
1
Total Citations
1
H-Index
1
About
Anggi Andriyadi is a researcher at the forefront of integrating edge artificial intelligence with real-world robotic systems. His work centers on the development of intelligent, low-latency sensing and detection technologies, with a particular emphasis on safety-critical applications. Andriyadi’s most notable contribution is his pioneering application of the YOLOv8 object detection algorithm alongside MQTT communication protocols and MQ-5 gas sensors, creating a robust, real-time fire and smoke detection system. This work, published in 2025, demonstrates a practical, deployable architecture for edge AI robots, enabling autonomous hazard identification without reliance on cloud computing. By combining computer vision with chemical sensing, his research addresses a critical gap in rapid emergency response. Though early in its citation history, this paper signals a significant step toward more responsive and autonomous safety systems. Andriyadi’s work is particularly relevant for researchers in robotics, embedded AI, and industrial safety, showcasing how accessible hardware and modern deep learning can be synergized to solve pressing environmental monitoring challenges.
Research Focus
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Top Papers
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