Barnita Debnath

National Institute of Technology Agartala

Papers

Total Citations

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About

Barnita Debnath is a researcher at the intersection of human-robot interaction (HRI), assistive robotics, and educational technology for children with special needs. Her most cited work, "Designing a humanoid robot integrated Exer-Learning-Interaction (ELI)" (2020), introduces a novel transitive gesture-based interaction module that combines physical exercise with learning. This system, built on a Precept Action Sequence (PAS) framework, uses a Leap Motion controller and the SoftBank humanoid robot NAO to create an engaging, adaptive platform that enhances elementary learning outcomes for children with special needs. By integrating gesture recognition and robotic feedback, Debnath’s work demonstrates how embodied interaction can support cognitive and motor skill development in inclusive education settings. With 5 citations, this paper marks a foundational contribution to the growing field of socially assistive robotics. Debnath’s research is notable for its practical, human-centered design approach, bridging robotics, education, and therapy. Her work holds promise for scalable, low-cost interventions that empower diverse learners through interactive, robot-assisted play.