Mohammed Al Haek
Papers
2
Total Citations
6
H-Index
2
About
Mohammed Al Haek is a researcher focused on the emerging field of swarm robotic systems, where he explores how groups of simple robots can collaborate to perform complex tasks. His work centers on a critical challenge in this domain: energy management and sharing among autonomous robots. In his most cited paper, "Exploring Energy Charging Problem in Swarm Robotic Systems Using Foraging Simulation" (2015, 4 citations), he investigates how robots can efficiently recharge and share energy during collective foraging missions, addressing a fundamental bottleneck for long-duration swarm operations. Al Haek’s research is notable for its interdisciplinary approach, drawing inspiration from biological systems. In "Modelling Immune Systems Responses for the Development of Energy Sharing Strategies for Swarm Robotic Systems" (2014, 2 citations), he models granuloma formation—a process where the immune system isolates harmful substances—to develop novel energy distribution strategies for robot swarms. This bio-inspired perspective highlights his innovative thinking in applying natural mechanisms to engineering problems. Though his citation counts are modest, Al Haek’s work contributes foundational insights into swarm energy autonomy, a key area for advancing real-world applications in search-and-rescue, environmental monitoring, and distributed robotics.
Research Focus
Key Achievements
Top Papers
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