Md. Faishal Rahaman
Papers
2
Total Citations
8
H-Index
2
About
Md. Faishal Rahaman is a robotics researcher focused on multi-agent coordination and autonomous navigation in complex environments. His primary research areas include multi-robot formation control, path planning algorithms, and heterogeneous unmanned vehicle cooperation. In his highly cited 2024 work, "Enhancing Multi-Robot Formation Control and Navigation Using Virtual Structures and Improved Path Planning Algorithms," he advanced formation control by optimizing the Virtual Structure Approach (VSA) for coordinated movement among autonomous and aerial vehicles—a critical contribution to domains like autonomous driving and drone swarms. His 2025 paper, "Self and Target Locating With Cooperation of Heterogeneous Unmanned Vehicles in the Denial Environment," addresses self-localization and target detection in GPS-denied settings, bridging military and civilian reconnaissance challenges. With over 8 cumulative citations in just two years, Rahaman’s work is gaining traction for its practical impact on real-world robotic systems. His research stands out for integrating theoretical formation control with robust path planning, offering solutions for resilient multi-agent operations in contested environments.
Research Focus
Key Achievements
Top Papers
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