Khalid AlMuteb

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About

Khalid AlMuteb is a researcher specializing in autonomous mobile robotics, computer vision, and intelligent navigation systems. His work focuses on enabling wheeled mobile robots (WMRs) to operate effectively in unknown or unstructured environments without relying on pre-existing maps or prior obstacle information. AlMuteb’s major contributions include the development of an autonomous stereovision-based navigation system (ASNS) for mobile robots, which integrates stereo cameras for depth perception and real-time path planning. His 2016 paper on this system has garnered 15 citations, reflecting its relevance to the field. In another highly cited work (11 citations), he addressed the challenge of visual tracking in unknown environments by combining fuzzy logic control with dead reckoning, allowing non-holonomic robots to navigate toward target objects while avoiding obstacles using only onboard vision. This approach eliminates the need for pre-planned paths, making it particularly valuable for search-and-rescue or exploration tasks. AlMuteb’s research demonstrates a practical, sensor-driven methodology for autonomous navigation, contributing to the broader goal of creating robots that can adapt to dynamic, real-world settings without human intervention.