Ehsan Mihankhah
K.N.Toosi University of Technology, Nanyang Technological University
Papers
9
Total Citations
193
H-Index
6
About
Ehsan Mihankhah is a robotics researcher whose work spans autonomous mobile robot navigation, rescue robotics, and multi-robot systems. He is perhaps best known for his pioneering contributions to autonomous stair detection and climbing, developing both fuzzy logic and kinematics-based controllers that enable tracked mobile robots to navigate staircases safely and efficiently — work that has garnered over 100 citations combined and remains influential in field robotics. His early research also produced a high-speed, feature-based laser scan matching technique for accurate mobile robot localization, demonstrating a sophisticated blend of local and global scan data analysis that earned 33 citations and advanced the field of simultaneous localization and mapping (SLAM). Mihankhah's applied work includes the design of ResQuake, a tele-operative rescue robot developed with full dynamics analysis and slip estimation, reflecting his commitment to real-world disaster response applications. His sustained involvement with the RoboCup Rescue Robot League — both as a competitor and contributor to its guiding frameworks — underscores his dedication to advancing fieldable robotic capabilities for emergency response. More recently, he has explored decentralized multi-robot navigation and environment characterization using Laplace-Beltrami eigenvalue analysis, signaling a broadening research horizon. His body of work reflects a consistent focus on making autonomous robots smarter, safer, and more deployable in challenging real-world environments.
Research Focus
Key Achievements
Top Papers
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- 4RoboCup Rescue Robot League18 citations · 2015
- 5ResQuake: A Tele-Operative Rescue Robot14 citations · 2009
- 6
- 7Line matching localization and map building with least square5 citations · 2009
- 8
- 9Environment characterization using Laplace eigenvalues2 citations · 2016