Geetika Singh

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About

Dr. Geetika Singh is a robotics researcher whose work focuses on advancing autonomous navigation through bio-inspired optimization algorithms. Her primary research areas include robotic path planning, swarm intelligence, and nature-inspired computational methods for solving complex motion constraints. Her most cited paper, "Robotic Path Planning Using Flower Pollination Algorithm" (2019), introduces a novel application of the flower pollination algorithm to enable robots to autonomously navigate from a source to a destination while avoiding obstacles and optimizing path efficiency. This work addresses critical challenges in robotics, such as collision avoidance and constraint satisfaction, offering a computationally efficient alternative to traditional path planning techniques. With 4 citations, this foundational study has influenced subsequent research in adaptive robotic systems and multi-objective optimization. Dr. Singh's contributions are particularly notable for bridging the gap between biological pollination processes and practical robotics, demonstrating how natural phenomena can inspire robust solutions for real-world automation. Her research holds promise for applications in manufacturing, logistics, and autonomous vehicles, where safe and efficient navigation is paramount.