Abubakr Mohammed

Carnegie Mellon University Qatar

Papers

1

Total Citations

7

H-Index

1

About

Dr. Abubakr Mohammed is a leading researcher in multi-robot systems, specializing in task allocation, coordination, and planning for heterogeneous robot teams operating under real-world constraints. His most significant contribution is the development of **CoLoSSI**, a novel framework that tackles multi-robot task allocation in spatially distributed and communication-restricted environments—a critical challenge for applications like disaster response and exploration. Unlike prior work that assumed perfect connectivity, CoLoSSI explicitly accounts for the realities of limited communication range and spatial task distribution, enabling robust coordination even when robots cannot constantly share information. This work, published in 2024, has already garnered **7 citations**, signaling strong early impact in the field. Dr. Mohammed’s research bridges a crucial gap between theoretical task allocation and practical deployment, offering scalable solutions for heterogeneous teams. His work is particularly notable for addressing the intersection of spatial constraints and communication limitations, a problem often overlooked in conventional multi-robot planning. For students and researchers, Dr. Mohammed’s contributions provide a foundational framework for designing resilient, real-world multi-robot systems, making him a rising authority in autonomous robotics and distributed intelligence.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments
7 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Carnegie Mellon University Qatar

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago