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About

Vidya N. Murali is a robotics and computer vision researcher whose work bridges autonomous navigation, AI-driven transportation, and the cultural integration of technology. Her key research areas include autonomous exploration, visual perception, and the application of computer vision in civic and industrial settings. Murali’s most cited work, “Autonomous navigation and mapping using monocular low-resolution grayscale vision” (2008, 17 citations), introduced a novel algorithm enabling mobile robots to navigate corridors using only a single forward-facing camera, leveraging ceiling lights and visual homing for efficient, low-cost autonomy. She further advanced this line of inquiry in “Autonomous exploration using rapid perception of low-resolution image information” (2011, 10 citations). Murali also contributed to the prestigious 9th AI City Challenge (2025, 16 citations), which saw a 17% increase in participation, showcasing her impact on real-world computer vision applications in transportation and public safety. Notably, her transdisciplinary work “Embedding robotics in civic monuments for an information world” (2010, 4 citations) explores how physical monuments can be reimagined as dynamic, information-sharing entities, reflecting her innovative approach to embedding robotics in cultural contexts. Murali’s research demonstrates a commitment to making autonomous systems more accessible, perceptive, and socially meaningful.