Abubakr Mohamed
Papers
1
Total Citations
4
H-Index
1
About
Abubakr Mohamed is a researcher specializing in multi-robot systems, task allocation, and cooperative control, with a focus on heterogeneous teams operating in complex, spatially distributed environments. His major contribution lies in developing auction-based coordination frameworks that balance workload and optimize task assignment for robots with diverse capabilities. In his most cited work, "Cooperative and load-balancing auctions for heterogeneous multi-robot teams dealing with spatial and non-atomic tasks" (2020, 4 citations), Mohamed addresses the challenge of planning for missions involving both spatially localized and non-atomic tasks—a problem traditionally framed as a simple mapping of tasks to robots. By introducing a novel auction mechanism that accounts for robot heterogeneity and load balancing, his research enables more efficient and scalable coordination in real-world scenarios like search-and-rescue or environmental monitoring. Though early in his career, Mohamed’s work is notable for bridging theoretical task allocation with practical constraints, offering a foundation for future advancements in multi-agent systems. His research is particularly relevant for students and engineers seeking to understand how decentralized decision-making can improve the performance of robotic swarms.
Research Focus
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Top Papers
- 1