Utkarsh Singh

Papers

Total Citations

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About

Utkarsh Singh is a researcher at the intersection of computer vision, human-robot interaction (HRI), and intelligent automation. His work focuses on developing scalable, real-world systems that bridge the gap between digital perception and physical operations. Singh’s most cited contribution, “A computer vision pipeline for automatic large-scale inventory tracking” (2021, 9 citations), addresses a critical challenge in industrial logistics—particularly within automotive manufacturing—by proposing an end-to-end vision-based solution for monitoring and tracking physical goods at scale. This work demonstrates his ability to apply deep learning and image processing to practical, high-impact operational problems. In parallel, Singh explores the future of socially aware robotics through his paper “Towards Web-based Environments for Prototyping Social Robot Applications” (2021, 2 citations). Here, he investigates how web technologies can democratize the prototyping of robots capable of interpreting social signals, including voice, facial expressions, and even neurophysiological data. This dual focus—on robust industrial automation and accessible social robotics—marks Singh as a versatile engineer-scientist. His research not only advances technical frontiers but also emphasizes deployability, making his work relevant for students and practitioners aiming to build intelligent systems that function effectively in both factories and human-centered environments.