Charuvahan Adhivarahan

University at Buffalo, State University of New York

Papers

Total Citations

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About

Charuvahan Adhivarathan is a robotics researcher whose work sits at the intersection of perception, sensing, and autonomous navigation. His primary research areas include depth sensing, simultaneous localization and mapping (SLAM), and multi-robot coordination. Adhivarathan’s major contributions lie in rethinking how robots perceive their environments. His most cited work, “Adaptive fovea for scanning depth sensors” (2020, 16 citations), introduces a bio-inspired approach that mimics human foveation—scanning with highest resolution over regions of interest—to improve depth sensor efficiency. This work challenges the conventional fixed-resolution paradigm in robotics perception. He has also pioneered the integration of wireless signals into spatial mapping. In “WISDOM: WIreless Sensing-assisted Distributed Online Mapping” (2019, 5 citations), he proposed a swarm-based mapping system for complex urban environments, addressing the limitations of single-robot mapping in spaces like malls and airports. His earlier work, “Improving RGB-D SLAM using wi-fi” (2017, 3 citations), demonstrates his innovative use of WiFi signals to enhance localization accuracy. Collectively, Adhivarathan’s research pushes the boundaries of how robots can perceive and map the world, blending biological inspiration with wireless technology to create more adaptive and scalable autonomous systems.