Archana Balmik

National Institute of Technology Rourkela

Papers

Total Citations

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About

Archana Balmik’s research lies at the intersection of human-robot interaction and deep learning, with a primary focus on enabling intuitive teleoperation through motion recognition. Her work centers on bridging the gap between human gestures and robotic action, particularly using the NAO humanoid robot and Kinect sensors. Her major contribution is a framework that allows robots to not only replicate but also understand and respond to human motions in real time, enhancing autonomous behavior in teleoperated systems. This is exemplified in her most-cited paper, “Motion recognition using deep convolutional neural network for Kinect-based NAO teleoperation” (2022, 17 citations), where she integrates deep convolutional neural networks for robust gesture classification. A related foundational study, “NAO Robot Teleoperation with Human Motion Recognition” (2021, 9 citations), further demonstrates her sustained impact in this niche. Balmik’s work is notable for advancing practical, low-cost solutions in assistive robotics and human-robot collaboration, making her research highly relevant for students and engineers exploring natural interfaces for robotic control.