C Marshal Revanth

Vellore Institute of Technology University

Papers

Total Citations

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About

C. Marshal Revanth is a researcher whose work centers on autonomous navigation and mobile robotics, with a particular focus on Simultaneous Localization and Mapping (SLAM). His most-cited paper, "Simultaneous Localization and Mapping of Mobile Robot using GMapping Algorithm" (2020), has garnered 11 citations and addresses a core challenge in robotics: enabling a mobile robot to accurately localize itself while concurrently building a map of an unknown environment. Revanth’s contribution lies in his application of the Rao-Blackwellized Particle Filter framework, a sophisticated approach that underpins the GMapping algorithm, to enhance the efficiency and reliability of SLAM systems. This work is foundational for autonomous navigation, impacting fields from warehouse logistics to search-and-rescue operations. While his citation count reflects a growing influence, Revanth’s research is notable for tackling a fundamental problem in robotics—the chicken-and-egg dilemma of mapping and localization—and for providing a practical, algorithm-driven solution that advances the state of the art in mobile robot autonomy.