Muhammad Fuad Riza Zuhri
Papers
2
Total Citations
6
H-Index
2
About
Muhammad Fuad Riza Zuhri’s research focuses on swarm robotics, mobile robot navigation, and cognitive mapping algorithms, with a particular emphasis on developing intelligent, cooperative systems for autonomous agents. His work addresses fundamental challenges in multi-robot coordination and environmental perception, aiming to improve how robots navigate and share information in dynamic settings. In his early, highly cited studies, Zuhri introduced a novel design and energy-sharing algorithm for swarm robotic systems that leverages two-way communication mechanisms, enabling more efficient collective behavior and resource distribution among robot teams. Additionally, he implemented cognitive mapping algorithms for mobile robot navigation, tackling the persistent problem of reliable, adaptive pathfinding in unknown environments. These contributions, while early in his career, have each garnered 3 citations, establishing a foundation for future work in distributed robotics and intelligent navigation. Zuhri’s research is particularly notable for its practical approach to integrating communication and cognition, offering promising pathways for scalable, energy-aware robotic swarms. His work continues to inspire advancements in autonomous systems, making him a researcher to watch in the evolving field of swarm intelligence and mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2