Prakhar Goyal

Papers

Total Citations

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About

Prakhar Goyal is a researcher whose work lies at the intersection of robotics, sensor networks, and wireless communication, with a particular focus on enabling precise spatial awareness without specialized hardware. His most cited paper, "Relative bearing estimation from commodity radios" (2009, 20 citations), addresses a fundamental challenge in multi-robot systems and sensor networks: how to estimate the relative orientation between nodes using only off-the-shelf radio hardware. This contribution is significant because it eliminates the need for expensive or bulky sensors like cameras or laser range finders, making bearing estimation accessible for applications such as pursuit-evasion, simultaneous localization and mapping (SLAM), and network localization. By leveraging commodity radios, Goyal’s work directly impacts topology control and distributed coordination in resource-constrained environments. His research demonstrates a practical, cost-effective approach to a core problem in autonomous systems, bridging the gap between theoretical algorithms and real-world deployment. Though his citation count is modest, the work is foundational for researchers seeking low-cost solutions to spatial reasoning in ad-hoc networks and robotic teams.