A. Vellingiri

KPR Institute of Engineering and Technology

Papers

Total Citations

H-Index

About

A. Vellingiri is a researcher whose work centers on sensor-based robotics and human detection systems, particularly for disaster response applications. Their most-cited paper, "Multiple Sensor based Human Detection Robots: A Review" (2023, 5 citations), critically surveys how sensor technologies—such as thermal, infrared, and acoustic sensors—can be integrated into robotic platforms to locate survivors trapped beneath rubble after natural disasters. This review highlights the pressing need for efficient, real-time detection methods that reduce search-and-rescue time and human risk. Vellingiri’s contribution lies in synthesizing diverse sensor modalities and identifying key challenges in autonomous human detection, offering a roadmap for future robotic systems in emergency scenarios. While their citation count is modest, the work addresses a vital humanitarian niche, bridging robotics, sensor engineering, and disaster management. This research is particularly relevant for students and engineers developing field-deployable rescue robots, emphasizing practical constraints like power efficiency and environmental interference. Vellingiri’s focus on life-saving technology underscores a commitment to applying robotics for social good, making their work a foundational reference for those entering the field of disaster robotics.