Iffat Tamanna

Bangladesh University of Business and Technology

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Total Citations

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About

Iffat Tamanna is a researcher advancing assistive robotics and human-computer interaction, with a primary focus on developing technologies to improve mobility and independence for visually impaired individuals. Her most-cited work, "A Framework of an Obstacle Avoidance Robot for the Visually Impaired People" (2022), which has garnered 7 citations, introduces a novel robotic system that integrates real-time obstacle detection and navigation assistance. This framework leverages sensor fusion and intelligent path-planning algorithms to create a wearable or companion robot that alerts users to hazards, offering a practical, low-cost solution for daily navigation. Tamanna’s contributions lie in bridging the gap between affordable robotics and accessibility, emphasizing user-centered design to ensure real-world applicability. Her work has been recognized for its potential to enhance quality of life, and she continues to explore scalable assistive technologies. By combining engineering innovation with social impact, Tamanna’s research not only advances the field of assistive robotics but also inspires future work in inclusive technology design, making her a notable emerging voice in accessible AI and robotics.