V. Hemalatha

Papers

Total Citations

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About

V. Hemalatha is a researcher specializing in swarm robotics and optimization algorithms, with a particular focus on enhancing the performance of multi-robot systems through intelligent computational methods. Her most cited work, "A Dynamic Inertial Weight Strategy in Micro PSO for Swarm Robots" (2019, 11 citations), introduces an innovative adaptation of particle swarm optimization (PSO) that dynamically adjusts inertial weights to improve the coordination and efficiency of micro-scale swarm robots. This contribution addresses critical challenges in decentralized robotic systems, such as convergence speed and adaptability in dynamic environments. Hemalatha’s research bridges theoretical optimization techniques with practical robotic applications, offering scalable solutions for tasks like exploration, surveillance, and collective transport. Her work is recognized for its potential to advance autonomous systems in constrained or hazardous settings, where robust, lightweight algorithms are essential. With a growing citation impact, Hemalatha continues to influence the fields of swarm intelligence and robotics, providing foundational insights for students and researchers exploring bio-inspired algorithms and their real-world deployment.