Ariz Shaikh

Papers

Total Citations

H-Index

About

Ariz Shaikh is an emerging researcher whose work sits at the intersection of assistive technology and autonomous robotics, with a focus on creating practical solutions for real-world challenges. His most cited paper, "Smart Shopping Cart for Visually Impaired Individuals" (2022, 11 citations), addresses a critical accessibility gap by developing a system that helps visually impaired people navigate retail environments independently. This work tackles not only the physical limitations of vision loss but also the societal stigma and fear that accompany it, making shopping a more dignified experience. Shaikh also explores defense applications in "Mine Detection using a Swarm of Robots" (2022, 5 citations), proposing a robotic swarm approach to safely identify landmines—a significant improvement over traditional military reconnaissance methods. While his citation counts are modest, reflecting his early-career stage, Shaikh’s contributions demonstrate a clear commitment to human-centered robotics. His work on the smart shopping cart, in particular, stands out for its potential to improve quality of life, positioning him as a thoughtful innovator in assistive and field robotics.