Neelam Rup Prakash

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About

Neelam Rup Prakash is a distinguished researcher in robotics and intelligent systems, with key contributions in robotic manipulator control, inverse kinematics, and virtual simulation environments. Her most cited work, "A neuro-genetic algorithm approach for solving the inverse kinematics of robotic manipulators" (2004, 35 citations), pioneered the integration of artificial neural networks with genetic algorithms to efficiently solve the complex, non-linear equations governing robotic arm motion—a breakthrough that reduced time-consuming calculations and enhanced real-time control. This work demonstrated how massively parallel architectures could overcome traditional computational bottlenecks in robotics. She further advanced the field with "A virtual RV-M1 robot system" (2011, 22 citations), creating a simulation platform that enabled safe, cost-effective testing and training for industrial robot operations. Prakash’s research bridges theoretical algorithms and practical applications, making her a notable figure in computational robotics. Her work continues to influence students and researchers exploring neuro-evolutionary approaches to automation and virtual prototyping.