Sarwar Ali

Papers

Total Citations

H-Index

About

Sarwar Ali is a researcher in assistive robotics and human-robot interaction, with a focus on developing intelligent mobility solutions for individuals with physical disabilities. His major contributions center on the design and implementation of smart robotic wheelchairs that can autonomously navigate complex, dynamic environments. In his most-cited work, "Smart Robotic Wheelchair for Bus Boarding Using CNN Combined with Hough Transforms" (2018), Ali pioneered a hybrid computer vision approach that combines convolutional neural networks with classical Hough transforms to enable safe, automated bus boarding—a critical challenge for wheelchair users in public transit. Building on this, his 2019 paper "Smart Wheelchair Maneuvering Among People" advanced the system's ability to navigate crowded pedestrian spaces, integrating real-time obstacle detection and social-aware path planning. Together, these papers have garnered 16 citations, establishing Ali as a contributor to accessible transportation technology. His work exemplifies the practical application of deep learning in assistive devices, directly addressing real-world barriers to independence for people with mobility impairments.