Papers
2
Total Citations
11
H-Index
2
About
Saquib Razak is a researcher advancing the frontiers of multi-robot coordination, with a focus on task allocation in spatially distributed and communication-constrained environments. His work addresses critical challenges in heterogeneous multi-robot systems, where robots with diverse capabilities must collaborate to complete spatially localized missions. Razak’s major contributions include the development of CoLoSSI, a novel framework that tackles task allocation under realistic constraints such as limited communication and spatial distribution, earning 7 citations since 2024. He also pioneered cooperative and load-balancing auction mechanisms for heterogeneous teams, handling both spatial and non-atomic tasks—a key innovation for dynamic, real-world deployments. These auction-based approaches, cited 4 times, ensure efficient and equitable task distribution, overcoming limitations of prior models that assumed ideal communication. Razak’s work is notable for its practical relevance to domains like search-and-rescue, environmental monitoring, and warehouse automation, where robots must operate with intermittent connectivity. By bridging theoretical task allocation with real-world constraints, he has laid groundwork for scalable, resilient multi-robot systems. His research continues to inspire new directions in decentralized coordination, making him a rising voice in robotics and artificial intelligence.
Research Focus
Key Achievements
Top Papers
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