Ashraf Saleem
Papers
3
Total Citations
12
H-Index
2
About
Ashraf Saleem is a robotics researcher whose work sits at the intersection of assistive technology and autonomous navigation. His most impactful contribution, "Design of a brain controlled hand exoskeleton for patients with motor neuron diseases" (2015, 6 citations), addresses a critical need for individuals with Locked-in syndrome by developing a brain-computer interface that restores hand function, offering a lifeline to those with severe paralysis. Saleem has also advanced mobile robotics through his work on deep learning-based obstacle avoidance, using RGBD images and Convolutional Neural Networks to enable safer, more intelligent robot navigation in indoor environments. His recent "Museum Guide Robot" (2025, 2 citations) showcases the practical application of these technologies, integrating AI and autonomous navigation to enhance visitor experiences. Saleem’s research bridges the gap between human-centered assistive devices and autonomous systems, demonstrating a commitment to creating robots that both empower individuals with disabilities and enrich public spaces. His work, though early in citation impact, signals a promising trajectory in rehabilitation robotics and intelligent navigation.
Research Focus
Key Achievements
Top Papers
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