Neerparaj Rai

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About

Neerparaj Rai is a robotics and automation researcher whose work centers on intelligent robotic control, computer vision, and human-robot interaction. His most influential contribution, "Computer vision approach for controlling educational robotic arm based on object properties" (16 citations), introduces an autonomous framework for a 6-degree-of-freedom (DOF) serial robotic arm. By integrating two on-board cameras, Rai’s system enables real-time object detection and autonomous manipulation—a practical platform for academic and vocational training. He further advances accessible robotics in "REMOTE LEARNING: ANDROID OPERATED EDUCATIONAL ROBOT ARM WITH 6 DOF" (4 citations), proposing an intelligent optimal control system for a flexible robot arm operated via an Android smartphone app, bridging mobile technology and robotic education. Rai also explores voice-controlled robotics in "AN ANN BASED MOBILE ROBOT CONTROL THROUGH VOICE COMMAND RECOGNITION USING NEPALI LANGUAGE" (2 citations), where he applies artificial neural networks to recognize Nepali voice commands for mobile robot navigation via wireless XBee modules. His work demonstrates a commitment to low-cost, user-friendly robotic systems for education and local language interfaces, making robotics more accessible in developing contexts. Rai’s research has laid groundwork for integrating computer vision, mobile control, and speech recognition in educational robotics.