Raja Joko Musridho

Papers

Total Citations

H-Index

About

Raja Joko Musridho is a robotics researcher whose work focuses on advancing autonomous navigation systems, particularly through improved line maze-solving algorithms for mobile robots. His most cited paper, "Improved Line Maze Solving Algorithm for Curved and Zig-zag Track" (2018, 7 citations), addresses a critical limitation in traditional maze-solving algorithms, which were designed exclusively for right-angle intersections and turns. By extending these algorithms to handle curved and zig-zag tracks, Musridho’s contribution bridges the gap between theoretical robotics and real-world applications, where irregular path geometries are common. This work has practical implications for warehouse automation, search-and-rescue robots, and educational robotics platforms. While his citation count reflects a focused, emerging impact, his research demonstrates a keen understanding of practical engineering challenges in mobile robotics. Musridho’s achievement lies in identifying and solving a specific, overlooked problem—making autonomous navigation more robust in complex environments. His work serves as a valuable resource for students and researchers developing intelligent, adaptive robots capable of navigating non-ideal tracks.