Swapnil Sayan Saha

University of California, Los Angeles, University of Dhaka

Papers

Total Citations

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About

Swapnil Sayan Saha is a researcher advancing the frontier of autonomous navigation, particularly for precision agriculture and resource-constrained platforms. His work centers on fusing neural networks with Kalman filtering to achieve robust localization under challenging conditions, such as ultra-intermittent GPS updates. In his highly cited 2023 paper, "Neural-Kalman GNSS/INS Navigation for Precision Agriculture" (15 citations), Saha introduced an ultra-lightweight neural-Kalman filter that enables high-resolution tracking of agricultural robots, a critical contribution to the field of precision farming. Earlier, he demonstrated his engineering prowess with the design of Muktibot (2016, 7 citations), a smartphone-controlled bomb disposal robot aimed at saving human lives. Saha has also explored the boundaries of inertial navigation on extremely resource-constrained IoT platforms, outlining methods, opportunities, and challenges in a 2023 paper (5 citations). His work bridges the gap between theoretical machine learning and practical, low-power navigation systems, making him a notable figure in the intersection of robotics, AI, and embedded systems.