Vikram Teja

Papers

Total Citations

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About

Vikram Teja is a robotics researcher whose work centers on cost-effective, practical solutions for autonomous mobile systems. His primary research areas include indoor navigation, localization, and human-robot interaction, with a strong emphasis on developing accessible technologies for service robots. Teja’s most cited work, the 2020 paper “QR Code based Indoor Navigation system for Attender Robot,” introduces a wheeled mobile robot designed to perform attendant tasks. The paper tackles two fundamental challenges in mobile robotics—localization and navigation—by leveraging QR codes as low-cost landmarks for precise positioning. This approach offers a scalable alternative to expensive sensor-based systems, making autonomous navigation more attainable for real-world applications. With 13 citations, this contribution has been recognized for its practical impact, particularly in settings like hospitals or offices where reliable indoor guidance is critical. Teja’s research demonstrates a commitment to bridging the gap between theoretical robotics and deployable, budget-friendly solutions, inspiring students and engineers to explore innovative pathways in autonomous systems.