Pooja Shah

Papers

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About

Pooja Shah is a researcher in autonomous systems, with a primary focus on unmanned aerial vehicle (UAV) navigation and collision avoidance. Her most-cited work, "Path Planning and Static Obstacle Avoidance for Unmanned Aerial Systems" (2022), has garnered 4 citations, laying a foundational framework for safe, efficient flight in cluttered environments. Shah’s contributions center on developing algorithms that enable UAVs to dynamically compute optimal trajectories while circumventing static obstacles—a critical capability for applications in surveillance, delivery, and disaster response. Her research addresses a key bottleneck in autonomous flight: balancing real-time decision-making with computational efficiency. Though early in her career, Shah’s work is already informing subsequent studies in path optimization and sensor integration. She is recognized for bridging theoretical planning models with practical implementation challenges, making her a promising voice in the growing field of aerial robotics. Shah’s ongoing efforts aim to extend her methods to dynamic obstacle environments, further advancing the reliability and autonomy of unmanned systems.