Neelu Nagpal

Delhi Technological University, Maharaja Engineering College

Papers

Total Citations

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About

Neelu Nagpal’s research advances the frontier of intelligent robotic control, with a focus on stochastic systems, adaptive algorithms, and real-time state estimation. Her most-cited work, “A Real-Time State-Observer-Based Controller for a Stochastic Robotic Manipulator” (12 citations), introduces a novel generalized linear feedback matrix controller that leverages Itô’s stochastic calculus to enable n-link robots to track desired trajectories despite environmental noise—a critical contribution for reliable automation in unpredictable settings. She further demonstrates versatility in “Intelligent control of four DOF robotic arm” (7 citations), where she applies Fuzzy control and Adaptive Network-based Fuzzy Interference System (ANFIS) techniques with multiple membership functions for decentralized joint control. Her other notable studies include estimating stochastic environment forces for master–slave systems and integrating intelligent-computed torque control for precise tracking. Though her citation counts are modest, Nagpal’s work bridges theoretical rigor with practical implementation, offering foundational insights for researchers tackling noise-robust, adaptive robotics. Her achievements underscore a commitment to advancing real-world robotic autonomy through mathematically grounded, intelligent control strategies.