Mousata Nawito
Papers
1
Total Citations
7
H-Index
1
About
Moustafa Nawito is a robotics researcher whose work centers on multi-agent coordination, fuzzy control systems, and autonomous robotic teams. His most notable contribution is the development of a fuzzy-based hierarchical coordination and control system for robotic agent teams, demonstrated in the context of the Robot Hockey competition. This system was deployed by the German University in Cairo (GUC) team during the FESTO Hockey Challenge at RoboCup 2009, where three robots had to collaborate autonomously to compete in a fast-paced hockey game. Nawito’s approach integrated fuzzy logic to handle real-time decision-making and coordination among the robots, enabling adaptive and robust team behavior in dynamic environments. While his most-cited paper has accumulated 7 citations, its significance lies in its practical application within a competitive international robotics platform, showcasing how hierarchical fuzzy control can be effectively used for multi-robot coordination. This work contributes to the broader fields of swarm robotics and autonomous systems, offering insights into scalable control architectures for teams of agents operating under uncertainty. Nawito’s research remains relevant for students and engineers interested in fuzzy logic, multi-agent systems, and real-world robotic competitions.
Research Focus
Key Achievements
Top Papers
- 1