Papers

15

Total Citations

403

H-Index

8

About

Muhanad Alkilabi is a robotics researcher whose work centers on swarm robotics, multi-robot systems, and autonomous collective behavior. His research has made significant contributions to understanding how groups of robots can coordinate to accomplish complex tasks that no single robot could achieve alone. Alkilabi's most impactful work, "Cooperative Object Transport in Multi-Robot Systems: A Review of the State-of-the-Art" (2018), has accumulated over 220 citations and stands as a landmark reference for researchers studying fault-tolerant, scalable robotic collaboration. Complementing this, his investigations into evolved collective strategies using e-puck robots demonstrate how artificial evolution and neural networks can generate robust, scalable transport behaviors in robot swarms. Beyond physical manipulation tasks, Alkilabi has made notable contributions to collective decision-making in swarms, publishing several studies exploring how robot groups can reach consensus without centralized control. His more recent work extends swarm intelligence principles to real-world challenges, including UAV swarms for forest firefighting applications. With a publication record spanning over a decade and cumulative citations approaching 400, Alkilabi represents a meaningful voice in autonomous systems research, bridging evolutionary computation, swarm intelligence, and practical robotics applications.

Research Focus

Key Achievements

8
H-Index
15
Papers
403
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Cooperative Object Transport in Multi-Robot Systems: A Review of the State-of-the-Art
221 citations · 2018
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: University of Karbala, Aberystwyth University, University of Namur, Alsalam University College

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago