Saif Rahaman
Papers
1
Total Citations
2
H-Index
1
About
Saif Rahaman is a researcher in distributed robotics and swarm intelligence, with a focus on scalable coordination algorithms for multi-robot systems. His work addresses fundamental challenges in decentralized control, particularly the formation of geometric patterns under constrained sensory and communication conditions. Rahaman’s most-cited paper, "Multiple Uniform Circle Formation by Fat Robots Under Limited Visibility" (2023), proposes a scalable algorithm enabling teams of simulated robots—modeled as fat, non-point agents with restricted line-of-sight—to autonomously arrange into multiple uniform circles. This contribution tackles the persistent scalability and complexity barriers in distributed shape formation, offering a practical path toward real-world swarm deployment. While his citation count is currently modest, the work represents a meaningful step in overcoming the theoretical and algorithmic hurdles that have long limited the field. Rahaman’s research sits at the intersection of computational geometry, distributed algorithms, and robotics, aiming to bridge the gap between idealized models and the constraints of physical hardware.
Research Focus
Key Achievements
Top Papers
- 1Multiple Uniform Circle Formation by Fat Robots Under Limited Visibility2 citations · 2023