Yahy Kheiri Ghazijahani
Papers
1
Total Citations
5
H-Index
1
About
Yahya Kheiri Ghazijahani is a researcher specializing in multi-agent robotics, control theory, and estimation algorithms, with a particular focus on formation control and target tracking for mobile robot teams. His most cited work, "Sliding mode formation control and target tracking for a team of mobile robots using decentralized and distributed Kalman filter" (2013, 5 citations), introduces a novel theoretical framework that addresses the challenge of coordinating mobile robots with partially unknown dynamic models. In this paper, he developed a robust sliding mode control approach integrated with decentralized and distributed Kalman filtering, enabling a team of robots to track a stochastic target while maintaining a desired formation. This contribution is significant for its practical applicability in scenarios where robots must operate under uncertainty and limited communication. Kheiri Ghazijahani's work bridges robust control and estimation theory, offering a scalable solution for autonomous systems. His research has implications for applications such as search-and-rescue, environmental monitoring, and autonomous exploration, demonstrating how theoretical advances can directly inform real-world robotic coordination.
Research Focus
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Top Papers
- 1