Mohammed Ishaq Ansari
Texas A&M University at Qatar, Carnegie Mellon University Qatar
Papers
2
Total Citations
11
H-Index
2
About
Mohammed Ishaq Ansari is a rising researcher in the field of multi-robot systems, with a focus on task allocation and coordination in complex, real-world environments. His work addresses the critical challenge of enabling heterogeneous robot teams to efficiently complete missions involving spatially distributed tasks, particularly under constraints like limited communication. Ansari’s most cited paper, “CoLoSSI” (2024, 7 citations), introduces a novel framework for multi-robot task allocation in spatially-distributed and communication-restricted settings, a significant step beyond conventional approaches that often assume perfect connectivity. His earlier work, “Cooperative and load-balancing auctions for heterogeneous multi-robot teams dealing with spatial and non-atomic tasks” (2020, 4 citations), pioneered auction-based methods that balance workload across robots while handling tasks that are not easily divisible. By tackling the practical realities of robot coordination—such as spatial locality and communication blackouts—Ansari’s contributions are paving the way for more resilient and scalable autonomous systems. His research is particularly valuable for students and engineers interested in the intersection of robotics, optimization, and distributed systems.
Research Focus
Key Achievements
Top Papers
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- 2