Shreyas Madhav A V

Vellore Institute of Technology University

Papers

Total Citations

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About

Shreyas Madhav A V is a robotics researcher whose work centers on advancing autonomous navigation, particularly through innovations in Simultaneous Localization and Mapping (SLAM). His most-cited paper, "Parallel FPFH SLAM for Aerial Vehicles" (2021), addresses a critical bottleneck in real-time autonomous flight by parallelizing the Fast Point Feature Histogram (FPFH) algorithm. This contribution enables aerial vehicles to construct accurate environmental maps and localize themselves with greater speed and efficiency—a key step toward mainstream deployment of drones and other autonomous robots. Though early in his career, with 2 citations on this work, the paper signals a focused effort to solve the computational challenges that have long constrained SLAM’s practical application. Shreyas’s research sits at the intersection of robotics, computer vision, and parallel computing, aiming to make autonomous navigation more robust and accessible. His work is particularly relevant for students and researchers exploring how algorithmic optimization can bridge the gap between theoretical SLAM models and real-world deployment in dynamic, resource-constrained environments.