Papers
1
Total Citations
3
H-Index
1
About
Irma Welly is a researcher in robotics and embedded systems, with a focus on improving autonomous navigation for line-following robots. Her most cited work, "Analisa dan Perbaikan Algoritma Line Maze Solving Untuk Jalur Loop, Lancip, dan Lengkung pada Robot Line Follower (LFR)," addresses critical limitations in existing maze-solving algorithms. By identifying and refining the algorithm's ability to handle complex path geometries—such as loops, sharp turns, and curves exceeding 225 degrees—she enhanced robot performance on challenging tracks. Using Arduino Uno as the test platform, her research demonstrated practical improvements that enable more reliable and efficient navigation in real-world maze environments. Although her citation count is modest, with 3 citations for this key paper, her contribution is significant for students and hobbyists working on line-follower robotics, particularly in educational and competitive settings. Welly’s work bridges a gap in algorithm robustness, offering a tangible solution for robots to traverse previously problematic paths, thereby advancing the field of low-cost autonomous robotics.
Research Focus
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Top Papers
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