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About

Yogesh Angal is a researcher specializing in robotics, library automation, and intelligent systems, with a particular focus on integrating artificial intelligence and machine learning into real-world automation challenges. His most significant contributions center on developing robotic systems for library management, a niche yet impactful area that addresses the practical limitations of human-operated library administration. His 2017 paper on library management robotic systems remains his most cited work, accumulating 19 citations, and laid the groundwork for subsequent research in this domain. Angal's work with LabVIEW and NI myRIO platforms demonstrates his technical proficiency in hardware-software integration, enabling robots to perform complex pick-and-place operations in shelving environments relevant to libraries and warehouses. His 2016 contributions to LabVIEW-controlled automation further established him as a consistent voice in applied robotics research. Beyond automation, Angal has explored object detection techniques in robotics and ventured into acoustic sensing, investigating 3D sound source localization using asymmetrically positioned microphone arrays — reflecting a broadening research scope toward sensory cognition in robots. With a growing citation record across multiple publications, Angal represents an emerging researcher bridging practical engineering solutions with intelligent autonomous systems.