C. Sweetlin Hemalatha

Vellore Institute of Technology University

Papers

Total Citations

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About

C. Sweetlin Hemalatha is a researcher advancing the field of autonomous navigation and robotic perception, with a primary focus on Simultaneous Localization and Mapping (SLAM). Her key research areas include efficient surface mapping, sensor fusion, and algorithm optimization for real-time robotic systems. Her most notable contribution is the comparative analysis of B-spline surface mapping versus traditional grid-based approaches in SLAM, a study that demonstrates how parametric surface representations can significantly enhance computational efficiency and mapping accuracy in complex environments. This work, published in 2024, has already garnered 2 citations, signaling early recognition for its practical implications in reducing memory overhead and improving path planning. Hemalatha’s research bridges the gap between theoretical modeling and applied robotics, offering solutions that are both mathematically rigorous and deployable in resource-constrained systems. Her achievements highlight a commitment to pushing the boundaries of autonomous mapping, making her a promising voice in the next generation of SLAM innovation. For students and researchers, her work serves as a valuable reference for exploring alternative mapping paradigms that prioritize efficiency without sacrificing precision.