Papers
2
Total Citations
9
H-Index
2
About
Nike Sartika is a researcher advancing the frontiers of intelligent robotics and embedded systems, with a focus on autonomous navigation and real-time object tracking. Her work bridges the gap between theoretical control systems and practical, low-cost hardware implementations. Her most-cited paper, "Fuzzy Logic Control for Semi-Autonomous Navigation Robot Using Integrated Remote Control" (2022, 6 citations), introduces a novel fuzzy logic-based controller that enables mobile robots to adapt dynamically to their environment, a critical step toward fully autonomous systems. This research demonstrates how soft computing techniques can enhance navigation without requiring expensive sensors. In her follow-up work, "Implementation of an Object Tracking System Using Arduino and Huskylens Camera" (2023, 3 citations), Sartika shows how accessible components like Arduino microcontrollers and Huskylens cameras can be integrated to create robust object-following robots for industrial applications, such as automated material handling. By prioritizing affordability and reproducibility, her contributions empower students and makers to experiment with advanced robotics. Sartika’s research is a testament to the power of combining fuzzy logic with embedded vision, making sophisticated automation more accessible and laying groundwork for future innovations in semi-autonomous systems.
Research Focus
Key Achievements
Top Papers
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