Shweta Gupta

Papers

Total Citations

H-Index

About

Shweta Gupta’s research bridges the frontiers of biomedical engineering and autonomous robotics, with a particular focus on bionic systems and spatial intelligence. Her most cited work, a 2023 study on early COVID-19 diagnosis using smartphone tracking inspired by bionics (6 citations), demonstrates her innovative approach to applying biological principles for real-world health solutions—a timely contribution during the pandemic. Earlier, her foundational 2012 paper on Vision-Based Simultaneous Localization and Mapping (SLAM) (2 citations) provided a critical survey of computational methods for robotic navigation in complex environments, addressing the core challenge of enabling robots to map unknown spaces autonomously. While her citation counts are modest, they reflect work at the intersection of two demanding fields: bionics and SLAM. Her COVID-19 study, in particular, highlights a creative synthesis of bio-inspired design with mobile technology, offering a pathway for non-invasive, scalable diagnostics. For students and researchers, Gupta’s career exemplifies how cross-disciplinary thinking—from biological mimicry to robotic perception—can generate impactful solutions, especially in healthcare and autonomous systems. Her trajectory encourages exploration at the nexus of engineering, biology, and computer science.