Hadiseh Malakouti-Khah
Papers
1
Total Citations
5
H-Index
1
About
Hadiseh Malakouti-Khah is a robotics researcher whose work focuses on advancing simultaneous localization and mapping (SLAM) in complex, real-world settings. Her primary research areas include multi-robot systems, dynamic environment perception, and autonomous navigation. Her most notable contribution addresses a critical challenge in SLAM: the assumption of static environments. In her highly cited 2024 paper, she proposed a novel approach for multi-robot SLAM that operates reliably in dynamic environments without requiring initial correspondence between robots. This work has garnered 5 citations in a short time, reflecting its significance in the field. By enabling multiple robots to collaboratively map and localize in changing surroundings—such as busy warehouses or disaster zones—her research pushes the boundaries of autonomous systems. Malakouti-Khah’s achievements highlight her ability to tackle foundational problems in robotics, making her a rising voice in the community. Her work not only advances theoretical understanding but also has practical implications for search-and-rescue, industrial automation, and autonomous driving, inspiring future researchers to rethink traditional constraints in robotic perception.
Research Focus
Key Achievements
Top Papers
- 1