Ahmadreza Saadatkhah
Papers
2
Total Citations
11
H-Index
2
About
Ahmadreza Saadatkhah is a researcher specializing in multi-robot systems, distributed estimation, and autonomous navigation. His work focuses on enabling teams of mobile robots to collaboratively track targets, avoid obstacles, and maintain formation in uncertain environments. In his most cited paper (2013, 6 citations), Saadatkhah introduced a novel approach for dynamic obstacle avoidance and target tracking in robot swarms using a distributed Kalman filter, allowing robots to estimate the position and velocity of stochastic obstacles while preserving connectivity. His second most cited work (2013, 5 citations) presents a theoretical framework for sliding mode formation control combined with decentralized and distributed Kalman filtering, enabling robots with partially unknown dynamics to track a stochastic target while achieving a pre-specified formation. These contributions are significant for advancing the robustness and scalability of swarm robotics in real-world applications such as search-and-rescue, surveillance, and autonomous exploration. Saadatkhah’s integration of control theory with distributed estimation offers practical solutions for cooperative autonomy under uncertainty.
Research Focus
Key Achievements
Top Papers
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- 2