P. Sherubha

Papers

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About

Dr. P. Sherubha is a leading researcher in the Internet of Things (IoT), sensor data fusion, and intelligent robotic navigation systems. Their most-cited work, "Sensor data fusion for optimal robotic navigation using regression based on an IOT system" (2022, 11 citations), addresses a critical challenge in modern engineering: how to integrate compact, high-performance semiconductor technologies with robust network capabilities. By developing a regression-based data fusion model, Dr. Sherubha enables robots to process and combine sensor inputs more efficiently, significantly improving navigation accuracy in real-world IoT environments. This contribution is particularly valuable as the semiconductor industry continues to shrink device footprints while demanding greater processing power. Dr. Sherubha’s research bridges the gap between theoretical IoT frameworks and practical autonomous systems, offering engineers a scalable solution for smart robotics. Their work has been recognized for advancing the professional and academic discourse on IoT, making them a key figure in the evolution of intelligent, connected machines.