Hamzah Asyrani Sulaiman
Papers
2
Total Citations
7
H-Index
2
About
Hamzah Asyrani Sulaiman is a robotics researcher whose work centers on autonomous navigation, multi-agent systems, and intelligent pathfinding. His most notable contribution is the design of a multi-agent pathfinding robot that leverages an improved Flood Fill algorithm for efficient maze exploration—a 2022 paper that has garnered 5 citations for its practical approach to coordinating multiple robots in constrained environments. Earlier, Sulaiman pioneered the ToGouR (Tour Guide Robot) system, which integrates shape recognition patterns for automatic navigation, demonstrating early innovation in service robotics. This 2013 work laid groundwork for autonomous tour guides capable of navigating dynamic spaces without predefined maps. Sulaiman’s research addresses the growing industrial demand for sophisticated robotic systems, contributing to fields from warehouse logistics to public service automation. His work on multi-agent coordination and real-time environmental perception continues to influence the development of smarter, more autonomous robots.
Research Focus
Key Achievements
Top Papers
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