Shalini Darmaraju

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About

Shalini Darmaraju is an emerging researcher specializing in autonomous robotics and computational intelligence, with a focused expertise in multi-robot systems and swarm-based optimization algorithms. Her work addresses one of robotics' most challenging problems: enabling multiple robots to navigate shared environments efficiently, safely, and intelligently. Her most significant contribution to date is her development of the Enhanced Particle Swarm Optimisation (EPSO) algorithm, published in 2024, which tackles the longstanding limitations of traditional PSO approaches in multi-robot path planning. By integrating a novel path planning scheme with cubic Bezier curve trajectory smoothing, her method generates smoother, more efficient collision-free paths — a meaningful advancement over conventional techniques prone to excessive directional changes. This paper has already garnered 13 citations, a strong indicator of early impact within the robotics research community. Her earlier 2023 work on Modified Particle Swarm Optimization for multi-robot coordination further demonstrates her consistent commitment to refining swarm intelligence methodologies for real-world robotic applications. Though early in her research career, Darmaraju's contributions show a clear trajectory toward advancing intelligent autonomous systems. Her work holds promising implications for warehouse automation, swarm robotics, and any domain requiring coordinated multi-agent navigation.