Youssef Msala
Papers
3
Total Citations
29
H-Index
2
About
Youssef Msala is a researcher advancing the frontiers of multi-robot coordination and task allocation, with a particular focus on heterogeneous robotic systems. His work addresses the critical challenge of ensuring that teams of diverse robots collaborate efficiently and equitably, especially in dynamic environments. Msala’s foundational paper, "A new Robust Heterogeneous Multi-Robot Approach Based on Cloud for Task Allocation" (2019, 14 citations), introduced a cloud-based framework that enhances coordination and task division among robots sharing resources. Building on this, his 2023 work, "A New Method for Improving the Fairness of Multi-Robot Task Allocation by Balancing the Distribution of Tasks" (14 citations), proposed a comprehensive method that optimizes task distribution across performance metrics like efficiency, speed, and cost—moving beyond conventional approaches to ensure fairness. Most recently, in 2025, Msala published "A Novel Method for Enhancing Warehouse Operations Using Heterogeneous Robotic Systems for Autonomous Pick-and-Deliver Tasks" (1 citation), which integrates task allocation with path planning to improve picking speed, energy use, and scalability in warehouse automation. With a cumulative impact of 29 citations, Msala’s contributions are shaping the future of autonomous multi-robot systems, offering practical solutions for real-world applications in logistics and industrial automation.
Research Focus
Key Achievements
Top Papers
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