Keerthana Nallamotu

Papers

Total Citations

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About

Keerthana Nallamotu is a rising researcher in robotics and motion planning, whose work centers on developing efficient algorithms for autonomous navigation in complex environments. Her major contribution is the introduction of HAS-RRT (Hierarchical Annotated-Skeleton Guided RRT), a novel hierarchical approach that leverages workspace topological skeletons to dramatically accelerate pathfinding. This method achieves up to a 91% reduction in runtime and builds trees at least 30% smaller than state-of-the-art competitors, representing a significant leap in computational efficiency for real-time robotic systems. Her most-cited paper, published in 2025, has already garnered 8 citations, signaling strong early impact in the field. Nallamotu’s work bridges the gap between theoretical motion planning and practical deployment, offering a scalable solution for autonomous vehicles, manipulators, and drones operating in cluttered or dynamic settings. Her achievements highlight a talent for transforming complex geometric problems into elegant, data-driven strategies, making her a promising voice in the next generation of robotics researchers.