Rafat Ferdaush
Papers
1
Total Citations
3
H-Index
1
About
Rafat Ferdaush is a forward-thinking researcher in human-computer interaction and retail automation, whose work focuses on revolutionizing everyday consumer experiences through intelligent systems. Their most notable contribution is the Automated Shopping Trolley (AST), introduced in their 2023 paper "Revolutionizing Retail: An Automated Shopping Trolley For Effortless Customer Experience." This innovation reimagines the traditional shopping journey by designing a trolley that autonomously navigates store aisles, retrieves a customer’s pre-selected shopping list, and returns to them—eliminating the need for manual pushing and searching. Though early in its citation impact with 3 citations, the work has garnered attention for its practical, user-centered approach to integrating robotics and automation into retail environments. Ferdaush’s research addresses key challenges in convenience, efficiency, and accessibility, positioning them as an emerging voice in the field of smart retail technologies. Their work holds promise for reshaping how consumers interact with physical stores, blending digital pre-planning with seamless physical execution.
Research Focus
Key Achievements
Top Papers
- 1