Muhammad Jauharul Fuady
Papers
1
Total Citations
16
H-Index
1
About
Muhammad Jauharul Fuady is a robotics and artificial intelligence researcher whose work centers on pathfinding algorithms and autonomous navigation systems. His most influential contribution examines the performance of the A* algorithm in determining optimal routes for fire-fighting robots, a study that has garnered 16 citations since 2017. In this foundational paper, Fuady provides a rigorous analysis of A* as a hybrid of Uniform Cost Search and Greedy Best-First Search, evaluating its time and space complexity specifically within the context of the Indonesian Fire Fighting Robot Contest (KRPAI). His work offers practical insights into how heuristic search methods can be optimized for real-time robotic applications in constrained, dynamic environments. By bridging theoretical algorithm analysis with tangible robotics challenges, Fuady has contributed to advancing autonomous emergency response systems. His research remains relevant for students and engineers developing intelligent navigation solutions, demonstrating how classical AI algorithms can be adapted for life-saving technologies.
Research Focus
Key Achievements
Top Papers
- 1