Sungkono Sungkono

University of Indonesia, State University of Malang

Papers

Total Citations

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About

Sungkono Sungkono is a researcher at the forefront of robotics and automation, with a particular focus on mobile robot control, sensor fusion, and computer vision applications. His work bridges the gap between theoretical control systems and practical, real-world implementations—from improving the motion accuracy of differential drive robots to developing vision algorithms for critical nuclear fuel inspection. Sungkono's research on "Differential Drive Mobile Robot Motion Accuracy Improvement with Odometry-Compass Sensor Fusion" (2023) demonstrates his commitment to enhancing autonomous vehicle stability through robust sensor integration. Notably, his 2021 study on a "Computer vision algorithm for identifying the post-irradiated nuclear fuel in a hotcell" showcases the application of robotic vision in high-stakes environments, where manipulators must precisely handle hazardous materials. His foundational work on "Sistem Kendali Gerak Robot Menggunakan PC Berbasis Bluetooth" (2020) has garnered 4 citations, reflecting early interest in accessible robot control systems. With a cumulative impact spanning mobile robotics, sensor fusion, and nuclear safety, Sungkono’s contributions are paving the way for more intelligent, reliable, and safe autonomous systems in both industrial and hazardous settings.