Amur S. Al Yahmedi

Papers

Total Citations

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About

Amur S. Al Yahmedi is a pioneering roboticist whose work bridges intelligent navigation and efficient legged locomotion. His research focuses on two key areas: fuzzy logic control for autonomous mobile robots and the energetics of bipedal walking. In his most-cited work, "Fuzzy Logic Based Navigation of Mobile Robots" (2011, 31 citations), Al Yahmedi addressed the critical challenge of enabling robots to operate safely in human-populated environments—moving beyond factory floors into homes, museums, and offices. This contribution has influenced the development of socially-aware robots that can navigate dynamic, unstructured spaces. His later work, "Efficient walking of a simple biped with a torso" (2014, 5 citations), tackles the energy efficiency of bipedal locomotion, a fundamental problem for humanoid robotics. By analyzing the energetic cost of walking in a torso-equipped biped, Al Yahmedi provided insights that could lead to more practical, long-lasting walking robots. Though his citation counts are modest, his research addresses foundational questions in robotics—how machines can move intelligently and efficiently among people—making his work relevant to both autonomous navigation and humanoid robot design.