R.G. Vidhya

Papers

Total Citations

H-Index

About

R.G. Vidhya is a robotics researcher whose work centers on self-adjusting mechanical systems and their practical implementation using accessible hardware platforms. Her primary research areas include autonomous robot calibration, pendulum-based stabilization theory, and the integration of machine learning for real-time positional prediction. In her most cited work, "Machine Learning Based Approach to Predict the Position of Robot and its Application" (23 citations), Vidhya pioneered a framework where robots autonomously fine-tune their internal settings through iterative self-adjustment cycles, drawing inspiration from fundamental pendulum dynamics. This approach allows mechanical systems to continuously reinforce their structural integrity from within, adapting to changing conditions without human intervention. Her complementary study, "Smart Design and Implementation of Self Adjusting Robot using Arduino" (21 citations), demonstrates the practical realization of these concepts using low-cost, widely available microcontroller platforms, making advanced robotics research more accessible. Collectively, Vidhya’s work has garnered over 44 citations, establishing her as an emerging voice in adaptive robotics. Her contributions address the critical challenge of creating machines that can independently maintain optimal performance, a key step toward more resilient and autonomous robotic systems for industrial and domestic applications.