Ishita Mehta

Papers

Total Citations

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About

Ishita Mehta is a researcher in robotics and computational optimization, with a primary focus on robotic path planning and bio-inspired algorithms. Her most-cited work, "Robotic Path Planning Using Flower Pollination Algorithm" (2019, 4 citations), introduces a novel application of the flower pollination algorithm to enable autonomous robot navigation. This approach allows robots to move independently from a source to a destination while satisfying critical constraints, such as avoiding collisions with obstacles and optimizing travel distance. Mehta’s contribution lies in adapting a nature-inspired metaheuristic to solve complex path planning problems, offering an efficient alternative to traditional methods. Her work has implications for autonomous systems in manufacturing, logistics, and service robotics. While her citation count is modest, her research demonstrates a clear, practical impact on the field of mobile robotics. Mehta’s achievements include advancing the integration of swarm intelligence into robotic control, providing a foundation for future studies in adaptive and constraint-aware navigation. Her work is particularly valuable for students and researchers exploring bio-inspired solutions to real-world robotic challenges.