Ehsan Aboosaeedan

Papers

Total Citations

107

H-Index

About

Ehsan Aboosaeedan is a robotics researcher whose work centers on autonomous navigation, rescue robotics, and intelligent control systems. His most impactful contribution is the development of autonomous staircase detection and stair climbing algorithms for tracked mobile robots, detailed in his highly cited 2009 paper (88 citations). This work introduced a fuzzy logic-based controller that enables rescue robots to safely and smoothly navigate stairs—a critical capability for disaster response scenarios. Aboosaeedan also led the design and manufacturing of ResQuake, a tele-operative rescue robot, where he addressed dynamics analysis, slip estimation, and control system integration (14 citations). His research extends to efficient localization and mapping, where he developed a line-matching algorithm that uses LASER range finder data for rapid 2D environment representation and robot pose estimation (5 citations). Through these contributions, Aboosaeedan has advanced the practical deployment of mobile robots in unstructured, hazardous environments, bridging theoretical control methods with real-world robotic applications. His work remains foundational for researchers developing autonomous systems for search-and-rescue missions.