Pooya Mobadersany
Papers
2
Total Citations
17
H-Index
2
About
Pooya Mobadersany is a researcher whose early work has focused on advancing intelligent robotic navigation, particularly through the application of fuzzy logic systems for path planning in complex and unpredictable environments. His research addresses a critical challenge in robotics: enabling autonomous robots to navigate safely and efficiently when faced with both static obstacles and unknown, moving threats. In his most cited work, "A fuzzy multi-stage path-planning method for a robot in a dynamic environment with unknown moving obstacles" (14 citations), Mobadersany introduced a novel two-strategy fuzzy approach that allows a robot to make real-time, online decisions without prior knowledge of dynamic obstacles. This contribution is notable for its practical, real-world applicability, moving beyond theoretical models to propose a system capable of handling the uncertainty inherent in dynamic settings. His earlier paper, "An efficient fuzzy method for path planning a robot in complex environments" (3 citations), further established his foundational work in combining known static maps with adaptive, sensor-driven responses. While his citation counts reflect a focused, early-career impact, Mobadersany’s contributions are significant for researchers and students working at the intersection of fuzzy logic, autonomous systems, and real-time obstacle avoidance, providing a robust framework for safer and more intelligent robotic movement.
Research Focus
Key Achievements
Top Papers
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