Syarif Ahmad
Papers
1
Total Citations
6
H-Index
1
About
Syarif Ahmad is a researcher specializing in swarm robotics and multi-agent systems, with a particular focus on the coordination and guidance of robot swarms in three-dimensional environments. His most-cited work, "Guidance of Robot Swarm by Phase Gradient in 3D Space" (2016), has garnered 6 citations and introduces a novel approach to directing collective movement through phase-based control mechanisms. This contribution is significant for advancing the understanding of how decentralized robotic groups can navigate complex spatial tasks without centralized commands, drawing inspiration from natural phenomena like flocking or schooling. Ahmad’s research addresses key challenges in scalability and robustness, offering potential applications in search-and-rescue operations, environmental monitoring, and autonomous exploration. By exploring phase gradients as a guidance tool, he has provided a framework that enhances the efficiency and adaptability of swarm behaviors in three-dimensional spaces. His work stands as a foundational step for future studies in swarm intelligence, particularly for systems operating in aerial or underwater domains where spatial coordination is critical.
Research Focus
Key Achievements
Top Papers
- 1Guidance of Robot Swarm by Phase Gradient in 3D Space6 citations · 2016