Praveen Kumar N

Amrita Vishwa Vidyapeetham, Dr. Hari Singh Gour University

Papers

Total Citations

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About

Praveen Kumar N is a researcher whose work bridges robotics, electric motor diagnostics, and embedded control systems. His primary research areas include autonomous navigation, fault diagnosis in electric machines, and hardware implementation of robotic control schemes. Kumar’s most cited work, “A priority based exploration algorithm for path planning of an unmanned ground vehicle” (2014, 12 citations), introduces a novel algorithm for UGV navigation in hazardous environments, enhancing robot localization and path planning for surveillance applications. This contribution addresses critical challenges in deploying robots where human access is dangerous. In the domain of electric motor reliability, his paper “Diagnosis of Stator Interturn Fault in SPMSM Using Machine Learning” (2023, 5 citations) applies machine learning techniques to detect early-stage faults in permanent magnet synchronous motors, which are vital for high-power applications like industrial drives and vehicular propulsion. Additionally, his work “The Control Scheme of a Moving System Using Raspberry-pi with its Hardware Implementation” (2021, 2 citations) demonstrates practical embedded control using Raspberry Pi for field-deployable robots. Kumar’s research, though early in citation impact, shows a clear trajectory toward solving real-world problems in autonomous systems and motor health monitoring, making his work relevant for students and researchers in robotics and electric drives.