Asma Alakberi

Khalifa University of Science and Technology

Papers

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About

Asma Alakberi is a robotics researcher whose work focuses on autonomous navigation and obstacle avoidance for mobile robots operating in indoor environments. Her most-cited paper, “Navigation algorithm for autonomous mobile robots in indoor environments” (2018), has garnered 12 citations and addresses a critical challenge in robotics: enabling robots to move safely and efficiently through unknown indoor spaces. In this work, she developed an improved navigation algorithm that leverages ultrasonic sensors for real-time obstacle detection and avoidance, contributing to the broader goal of integrating autonomous robots into manufacturing, logistics, and service industries. Alakberi’s research is particularly relevant as industries increasingly rely on mobile robots for material handling and delivery tasks. By refining sensor-based navigation strategies, she helps bridge the gap between theoretical robotics and practical deployment. Her contributions support the development of more reliable and adaptive robotic systems, making her work valuable for researchers and engineers focused on autonomous navigation, sensor fusion, and intelligent control in constrained environments.