Papers

12

Total Citations

288

H-Index

7

About

Abdul Rahman Ramli is a pioneering researcher in swarm robotics and bio-inspired control systems, whose work has fundamentally advanced how miniature robots collaborate autonomously. His research centers on three key areas: developing swarm robotic platforms, designing robust control algorithms for robot manipulators, and implementing biologically inspired behaviors—particularly honeybee aggregation—for collective robot intelligence. Ramli’s most influential contribution is the development of a miniature robot platform for swarm applications (61 citations), which addressed the critical challenge of high costs and large space requirements that previously limited real-world swarm experimentation. He further advanced the field by creating a short-range infrared communication system for swarm mobile robots (33 citations) and proposing a novel moveable charging station for long-term swarm autonomy (28 citations). His work on model-free robust sliding surface adjustment in sliding mode control (51 citations) and adaptive fuzzy robust controllers (50 citations) for robot manipulators demonstrates his dual expertise in hardware and control theory. Notably, his imitation of honeybee aggregation behavior (38 citations) has provided a powerful framework for decentralized decision-making in multi-robot systems. Ramli’s research has laid essential groundwork for practical, energy-efficient, and scalable swarm robotic systems.

Research Focus

Key Achievements

7
H-Index
12
Papers
288
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Development of a Miniature Robot for Swarm Robotic Application
61 citations · 2009
📈 Most Prolific Year: 2011 (5 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Universiti Putra Malaysia, Islamic Azad University, Science and Research Branch, Serdang Hospital

Top Papers

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    Design adaptive fuzzy robust controllers for robot manipulator
    50 citations · 2011
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago