Partha Chakraborty

Papers

Total Citations

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About

Partha Chakraborty’s research lies at the intersection of human-robot interaction, computer vision, and cognitive computing, with a focused emphasis on understanding and quantifying human attention. His major contribution is the development of computational frameworks that allow robots to perceive and calculate the visual focus of a human’s attention level—a critical capability for creating more intuitive, responsive, and socially aware robotic systems. His 2021 paper, “A Human-Robot Interaction System Calculating Visual Focus of Human’s Attention Level,” has garnered 45 citations, establishing a foundational method that integrates image segmentation and detection techniques to classify varying intensities of human focus. Building on this, his 2020 work, “How Can a Robot Calculate the Level of Visual Focus of Human’s Attention,” with 16 citations, further refines the algorithmic approach for real-time attention estimation. Together, these studies represent a significant step toward enabling robots to interpret subtle human cues, enhancing collaborative environments in healthcare, manufacturing, and assistive technologies. Chakraborty’s work is notable for bridging low-level visual processing with high-level cognitive models, offering practical pathways for machines to understand when and how humans are engaged.