Ayesha Bibi

Papers

Total Citations

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About

Dr. Ayesha Bibi is a robotics researcher whose work centers on autonomous navigation and path planning for intelligent robotic systems. Her primary contributions lie in developing optimized, planning-based approaches that enable robots to navigate complex environments with minimal human intervention. Her most-cited paper, "Planning-based optimized path for automatic robot navigation" (2018), addresses a fundamental challenge in robotics: achieving goal-oriented movement without relying on memory-intensive maps. By proposing methods that reduce processing load and eliminate the need for pre-built environmental maps, Dr. Bibi’s research advances the efficiency and autonomy of laser-based navigation systems. Though her citation count (3) reflects the early stage of her career, her work tackles a core problem in fully autonomous robotics—balancing real-time decision-making with computational constraints. Her focus on lightweight, map-free navigation has implications for applications ranging from warehouse logistics to search-and-rescue missions. As she continues to refine these algorithms, Dr. Bibi is poised to make further strides in creating more adaptive and resource-efficient robotic systems, contributing to the broader goal of seamless human-robot interaction in dynamic settings.