Reda Ghanem
Papers
3
Total Citations
11
H-Index
2
About
Reda Ghanem is a rising researcher in swarm robotics, focusing on the intersection of collective motion, optimization, and autonomous decision-making. His work addresses critical challenges in deploying robot swarms for real-world coverage and exploration tasks, where robots must react to unknown obstacles without centralized control. Ghanem’s major contributions include developing simulation-optimization approaches that tune swarming parameters for mission-specific objectives, as demonstrated in his 2024 paper on optimizing swarming collective motion for coverage problems (7 citations). He further advances the field with multi-objective optimization frameworks that balance competing priorities in swarm deployment (2025, 2 citations) and a novel dual-task deep reinforcement learning architecture that enables swarms to bootstrap collective motion skills in obstacle-rich environments (2025, 2 citations). By bridging simulation and reality through domain transfer, Ghanem’s work paves the way for practical, adaptive swarms capable of operating in complex, unknown settings. His research is particularly notable for addressing the gap between proof-of-concept studies and real-world applicability, making him a key contributor to the next generation of autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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