G. Chitra

Papers

Total Citations

H-Index

About

G. Chitra is a researcher specializing in mobile robotics and computational intelligence, with a particular focus on multi-objective path planning. Her most cited work, "Multi objective mobile robot path planning based on hybrid algorithm" (2011, 23 citations), introduces a novel approach that synergizes Ant Colony Optimization (ACO) with Genetic Algorithms (GA) to navigate robots through complex environments. This hybrid algorithm simultaneously optimizes three critical path objectives—length, smoothness, and security—addressing a key challenge in autonomous navigation. By adapting the evolutionary process of ACO with genetic operators, Chitra’s method enhances solution diversity and convergence, offering a more robust framework for real-world robotic applications. Her contributions are particularly notable for integrating multiple optimization criteria into a single, efficient algorithm, paving the way for safer and more efficient autonomous systems. With 23 citations, this work has influenced subsequent studies in swarm intelligence and robotics, demonstrating its lasting relevance in the field. Chitra’s research continues to inspire advances in intelligent path planning, making her a respected voice in computational robotics.