A. Fathima Thasneem

Papers

Total Citations

H-Index

About

A. Fathima Thasneem is a researcher specializing in mobile robotics and computational intelligence, with a focus on optimizing autonomous navigation in complex environments. Her most-cited work, "Optimal Path Selection for Mobile Robot Navigation Using Genetic Algorithm in an Indoor Environment" (2012), has garnered 9 citations, establishing her as a contributor to the field of evolutionary robotics. In this study, she demonstrated how genetic algorithms can be effectively applied to solve path-planning challenges, enabling mobile robots to navigate indoor spaces with improved efficiency and obstacle avoidance. Her research bridges the gap between artificial intelligence and real-world robotic applications, offering practical solutions for autonomous systems in settings such as warehouses, hospitals, and smart homes. Thasneem’s work is notable for its emphasis on algorithmic optimization, which reduces computational overhead while maintaining robust performance. Though her citation count is modest, her contributions lay foundational groundwork for integrating bio-inspired algorithms into mobile robot navigation. Her research continues to inspire further exploration into adaptive path planning, highlighting the potential of genetic algorithms to enhance the autonomy and reliability of robotic systems in dynamic indoor environments.