Kislay Raj

Papers

Total Citations

146

H-Index

About

Kislay Raj is a researcher at the intersection of artificial intelligence, robotics, and assistive technology, with a primary focus on deep learning applications for socially impactful systems. His most cited work, "Deep Learning-Based Cost-Effective and Responsive Robot for Autism Treatment" (2023, 137 citations), introduces an affordable robotic platform that leverages deep learning to deliver responsive, personalized therapy for individuals with autism spectrum disorder. This contribution addresses a critical gap in accessible assistive technology, demonstrating how intelligent robots can transform therapeutic and educational environments. Raj also explores autonomous navigation in resource-constrained settings, as seen in his work on "Efficient Deep Learning-based Semantic Mapping Approach using Monocular Vision for Resource-Limited Mobile Robots" (2023, 9 citations), which advances semantic understanding for low-cost robotic systems. His research is notable for combining technical efficiency with real-world applicability, emphasizing cost-effective solutions that broaden access to advanced robotic assistance. With a growing citation footprint and a clear commitment to human-centered AI, Raj is emerging as a promising voice in the field of socially assistive robotics and embedded deep learning.