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About

Swati Shilaskar is a researcher at the forefront of assistive technology and computer vision, dedicated to creating intelligent systems that enhance human capability and independence. Her primary research areas span human activity recognition, multimodal sensor fusion, and rehabilitation robotics, with a particular focus on developing solutions for individuals with disabilities. Shilaskar’s most impactful work, "A Qualitative and Quantitative Analysis of Research in Mobility Technologies for Visually Impaired People" (2023), has garnered 47 citations, establishing her as a key voice in assistive mobility. This comprehensive review critically examines the landscape of "blind assistive technology," highlighting how mobility devices provide crucial position, orientation, and navigation assistance. She extends this human-centered approach into deep learning, as seen in her 2024 work on a vision-based humanoid robotic palm for amputees, which aims to restore functional capability and address employment challenges. Shilaskar also contributes to autonomous systems through her fusion of LiDAR and camera data for 3D vehicle detection. By bridging the gap between advanced computer vision and tangible assistive applications, her work demonstrates a powerful commitment to leveraging technology for social good and improving quality of life.