Zubin Bhuyan

Tezpur University, University of Massachusetts Lowell

Papers

Total Citations

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About

Zubin Bhuyan is a researcher at the forefront of cognitive robotics and artificial intelligence, specializing in object affordance reasoning—the study of how machines can infer the possible actions an object offers. His work bridges the gap between perception and action, enabling robots to understand not just what an object is, but what can be done with it. Bhuyan’s foundational paper, “O-PrO: An Ontology for Object Affordance Reasoning” (2017, 11 citations), introduced a structured framework for representing affordances, providing a common language for AI systems to reason about object use. He extended this line of inquiry in “Inferring Semantic Object Affordances from Videos” (2021, 4 citations), demonstrating how affordances can be learned from dynamic visual data, moving beyond static images to real-world, temporal contexts. Though his citation counts are modest, his contributions are significant for their conceptual clarity and practical implications in autonomous systems, human-robot interaction, and assistive technology. Bhuyan’s work is a critical stepping stone for researchers aiming to build machines that can interact intelligently and safely with their environment.