Hadi Hajieghrary
Papers
5
Total Citations
72
H-Index
5
About
Hadi Hajieghrary’s research sits at the intersection of robotics, information theory, and autonomous navigation, with a focus on enabling robots to operate intelligently in complex, dynamic environments. His most impactful work tackles the challenging problem of plume tracking—using robots to locate the source of biochemical contaminants in turbulent flows. By applying information-theoretic search strategies, Hajieghrary developed methods that allow single and multi-robot teams to synthesize sporadic sensor readings and optimize exploration, even in 3D turbulent fields. This work, cited over 22 times, has direct applications in environmental monitoring and disaster response. More recently, he has advanced collision-free navigation for mobile robots in crowded indoor settings, integrating multimodal motion prediction of dynamic obstacles with predictive control to ensure safe interactions. His 2023 paper on this topic has already garnered 14 citations. Hajieghrary has also contributed to benchmarking local motion planners for mobile manipulators, providing a standardized framework for comparing trajectory planners across different hardware and tasks. Through these contributions, he is shaping how autonomous systems perceive, predict, and act in uncertain, real-world environments.
Research Focus
Key Achievements
Top Papers
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- 5Benchmarking local motion planners for navigation of mobile manipulators7 citations · 2023