Shuvrodeb Barman

Papers

Total Citations

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About

Shuvrodeb Barman is a researcher whose work lies at the intersection of sensor technology and practical robotics, with a particular focus on ultrasonic sensing for object detection and spatial mapping. His most cited paper, "Determining 2D shape of object using ultrasonic sensor" (2016, 9 citations), introduces a novel approach to using ultrasonic sensors not merely for distance measurement, but for reconstructing the two-dimensional shape of objects. This work extends the traditional application of ultrasonic technology—commonly used in navigation, obstacle avoidance, and map building—by developing a radar-like system capable of providing both precise distance and angular data. Barman’s contribution is significant because it addresses a key limitation of standard ultrasonic sensors: their inability to capture object geometry. By enabling shape determination, his research opens new possibilities for low-cost, non-visual sensing in robotics, automation, and assistive technologies. While his citation count is modest, the work represents a foundational step in enhancing the perceptual capabilities of simple sensor systems, making it a valuable reference for researchers exploring affordable sensing solutions for autonomous systems and human-robot interaction.