Pamarthi Ravi Teja

Papers

Total Citations

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About

Pamarthi Ravi Teja is a researcher in robotics and autonomous systems, with a primary focus on path planning and warehouse automation. His most cited work, "QR Code based Path Planning for Warehouse Management Robot" (2018, 16 citations), addresses the critical challenge of enabling mobile robots to navigate large, complex environments efficiently. By integrating QR codes into the navigation framework, Teja proposed a cost-effective and reliable method for autonomous path planning, significantly improving the operational efficiency of warehouse management robots. This contribution is particularly relevant to the growing field of logistics automation, where precise and scalable navigation solutions are in high demand. His research bridges the gap between theoretical path planning algorithms and practical, real-world deployment, offering a novel approach that reduces computational overhead while maintaining accuracy. Teja’s work has been recognized for its potential to streamline industrial workflows, and his findings continue to influence the development of intelligent robotic systems in constrained environments. With a clear impact on both academia and industry, his contributions underscore the importance of integrating simple, robust technologies like QR codes into advanced robotic controllers.