Rupam Bhattacharyya

Tezpur University, Tilka Manjhi Bhagalpur University

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About

Rupam Bhattacharyya’s research lies at the intersection of artificial intelligence, robotics, and human-machine collaboration, with a particular focus on enabling intelligent systems to understand and interact with their environments. His work on object affordance reasoning—the ability of robots to infer how objects can be used—has been foundational, as demonstrated by his most-cited paper, “O-PrO: An Ontology for Object Affordance Reasoning” (2017, 11 citations), which provides a structured framework for robots to reason about potential actions. Bhattacharyya further advanced this area with “Inferring Semantic Object Affordances from Videos” (2021, 4 citations), extending affordance learning to dynamic visual data. A key contribution to assistive robotics is his cBDI-based collaborative control architecture for robotic wheelchairs (2016, 5 citations), which adapts the Belief-Desire-Intention model to offer “assistance as required,” balancing user autonomy with machine support. This work not only showcases his ability to bridge theoretical AI with practical, human-centered applications but also highlights his commitment to enhancing quality of life through technology. With a growing citation footprint, Bhattacharyya’s research continues to influence how robots perceive and act in human environments.