Priyanka Mathur

Papers

Total Citations

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About

Priyanka Mathur is a researcher specializing in autonomous robotics, with a particular focus on terrain classification and traversability assessment for mobile robot navigation. Her work addresses one of the fundamental challenges in robotics: enabling autonomous systems to safely and efficiently navigate unknown and unpredictable natural environments. Mathur's most significant contributions lie in developing intelligent techniques for terrain perception, leveraging textural feature extraction to classify terrain types and assess their traversability. Her 2010 paper, "Traversability Assessment of Terrain for Autonomous Robot Navigation," which has garnered 12 citations, laid important groundwork in this domain by demonstrating how environmental perception enhances both safety and efficiency in robot navigation. Building on this, her 2012 study further advanced the field by addressing the critical need for onboard intelligence in robotic systems such as planetary rovers, accumulating an additional 10 citations. Her research holds particular relevance for real-world applications in planetary exploration, search-and-rescue missions, and other scenarios where robots must operate autonomously in unstructured environments. For students and researchers entering the fields of robotics and computer vision, Mathur's work offers valuable foundational methodologies for building robust, terrain-aware autonomous navigation systems.