Papers
13
Total Citations
395
H-Index
10
About
O. Motlagh is a leading researcher in autonomous mobile robotics, with a career focused on enabling robots to navigate complex, unknown, and dynamic environments without human intervention. His work centers on the integration of intelligent control architectures, reactive navigation, and collision avoidance systems. Motlagh’s most influential contribution is the development of a novel minimum avoidance system for behavior-based mobile robots, which has garnered 89 citations and remains a foundational reference in the field. He has also authored a highly cited review on control architectures for autonomous navigation (85 citations), providing a critical taxonomy of how sensing, planning, and reaction are unified in robotic systems. His innovative use of expert fuzzy cognitive maps for reactive navigation (81 citations) and sampling-based tabu search for online path planning (26 citations) demonstrates his commitment to practical, real-time solutions. With over 380 total citations, Motlagh’s research has shaped how robots perceive and act in uncertain environments, making him a key figure in the advancement of intelligent, autonomous systems for both academic and industrial applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2A review of control architectures for autonomous navigation of mobile robots85 citations · 2011
- 3An expert fuzzy cognitive map for reactive navigation of mobile robots81 citations · 2012
- 4Automatic navigation of mobile robots in unknown environments40 citations · 2013
- 5Sampling-Based Tabu Search Approach for Online Path Planning26 citations · 2012
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- 8
- 9A Review on Positioning Techniques and Technologies: A Novel AI Approach10 citations · 2009
- 10An FCM-based Design for Balancing of Legged Robots10 citations · 2011