Priyanka Rastogi

Papers

Total Citations

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About

Priyanka Rastogi’s research lies at the intersection of robotics and nature-inspired optimization, with a particular focus on autonomous navigation and path planning. Her most-cited work, “Robotic Path Planning Using Flower Pollination Algorithm” (2019), introduces a novel application of the flower pollination algorithm to guide robots from a source to a destination while satisfying critical constraints—namely, obstacle avoidance and path efficiency. This contribution addresses a fundamental challenge in robotics: enabling independent movement in complex environments without human intervention. By adapting a biologically inspired algorithm to robotic systems, Rastogi offers a computationally efficient alternative to traditional path planning methods. Though her citation count is modest, her work represents a meaningful step toward more adaptive and autonomous robotic behavior. Her research is especially relevant for students and engineers exploring how metaheuristic algorithms can solve real-world engineering problems. Rastogi’s focus on constraint satisfaction and algorithmic adaptation underscores her commitment to practical, deployable solutions in robotics.