Pooja Nag

Papers

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About

Pooja Nag is a researcher at the forefront of assistive robotics and human-machine interaction, with a focused interest in developing intelligent mobility solutions for individuals with disabilities. Her most-cited work, "Hand Gesture-Controlled Wheeled Mobile Robot for Prospective Application as Smart Wheelchairs" (2023), exemplifies her commitment to bridging the gap between intuitive control systems and practical assistive devices. In this study, Nag introduced a novel framework that translates hand gestures into real-time commands for wheeled robots, offering a promising pathway toward smart wheelchairs that can be operated with minimal physical effort. Although early in her career, this paper has already garnered 2 citations, signaling growing recognition within the robotics community. Nag’s contributions lie in integrating computer vision, sensor fusion, and control algorithms to create user-friendly interfaces that enhance autonomy for users with limited mobility. Her work not only advances technical knowledge in gesture recognition and mobile robotics but also addresses a critical societal need—improving quality of life through accessible technology. As she continues to publish, Nag is poised to become a key voice in assistive robotics, with her research laying the groundwork for more responsive, adaptive, and inclusive mobility aids.