Papers
2
Total Citations
21
H-Index
2
About
I.J. Nagrath is a pioneer in intelligent robotics and control systems, with foundational contributions to autonomous navigation and manipulator control. His most influential work, "Real-time navigation of a mobile robot using Kohonen's topology conserving neural network" (2002, 16 citations), introduced a novel sensor-based navigation method that leverages self-organizing neural networks for real-time path planning in uncertain environments. This approach discretely encodes sensory data—including target location relative to the robot—enabling robust, adaptive movement without pre-mapped routes. Nagrath also advanced robotic manipulator control in his 2002 study (5 citations), where he systematically analyzed the effects of external disturbances and parameter variations on trajectory tracking. By comparing intelligent control strategies—such as trajectory-following law partitioning and PID control—he provided critical insights for enhancing precision and stability in dynamic conditions. His work bridges neural computation and practical robotics, influencing subsequent research in autonomous systems and adaptive control. Nagrath’s contributions remain relevant for students and engineers developing intelligent, resilient robotic platforms for real-world applications.
Research Focus
Key Achievements
Top Papers
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