Shamma Almaamari

Khalifa University of Science and Technology

Papers

Total Citations

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About

Shamma Almaamari is a robotics researcher whose work centers 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 service, manufacturing, and logistics robotics: enabling robots to move safely through unknown indoor spaces. Almaamari’s key contribution lies in developing improved algorithms that leverage ultrasonic sensors for real-time obstacle detection and path planning, enhancing robot autonomy without relying on pre-mapped environments. This work is foundational for applications ranging from warehouse automation to assistive robotics, where reliable navigation in dynamic settings is essential. By focusing on sensor-based, low-cost solutions, Almaamari’s research bridges the gap between theoretical control systems and practical deployment, offering scalable approaches for industries seeking to integrate autonomous mobile robots. Her contributions underscore the importance of robust, adaptive algorithms in advancing the next generation of intelligent, self-navigating machines.