S. Sowmiya

Papers

Total Citations

H-Index

About

S. Sowmiya is a robotics researcher focused on assistive and agricultural technologies, with key contributions in developing intelligent surveillance and detection systems. Her most cited work, the "Snag Detection Robot for Visually Impaired Steering and Blind Individuals" (2018, 5 citations), pioneers cognitive computing applications in robotics to enhance mobility and safety for visually impaired users. This research integrates AI-driven psychological feature computing to create robots that can navigate and detect obstacles, representing a significant step toward human-like machine cognition. In her more recent work, "Intelligence Surveillance Robot for Bug Detection" (2024, 2 citations), Sowmiya addresses critical agricultural challenges by designing robots that monitor insect infestations without relying on harmful pesticides, offering an eco-friendly solution to protect crop quality and ecosystem health. Her research bridges the gap between human-centered assistive robotics and sustainable agricultural practices, demonstrating the versatility of AI-powered robotic systems. While her citation counts are modest, Sowmiya's work contributes to two pressing global issues: accessibility for disabled individuals and environmentally conscious farming. Her innovative approach to embedding cognitive computing in practical robotic applications marks her as an emerging voice in the field of intelligent robotics.