Fatemeh Mohseni
Papers
1
Total Citations
5
H-Index
1
About
Fatemeh Mohseni is a researcher specializing in distributed control systems, mobile robotics, and optimization-based control strategies. Her work sits at the intersection of model predictive control (MPC) and multi-agent robotic systems, addressing fundamental challenges in how autonomous robots can coordinate effectively without centralized oversight. Her most recognized contribution, "Distributed Model Predictive Coverage Control for Decoupled Mobile Robots" (2015), introduces a distributed coverage control scheme grounded in receding horizon control (RHC). This work formulates an optimal control problem for decoupled robotic systems, where a carefully designed cost function couples the dynamics of individual agents to achieve collective coverage goals — a technically elegant solution to a challenging coordination problem. The paper has garnered 5 citations, reflecting its contribution to the specialized field of multi-robot systems. Mohseni's research is particularly valuable for students and engineers working on autonomous systems, swarm robotics, and smart infrastructure, where scalable and efficient control of multiple agents is critical. Her focus on decentralized architectures addresses real-world constraints such as limited communication bandwidth and computational scalability, making her work practically relevant beyond theoretical contributions. As autonomous systems continue to proliferate, her foundational insights into distributed predictive control remain an important reference point.
Research Focus
Key Achievements
Top Papers
- 1