Arpit Sharma

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About

Arpit Sharma is a researcher at the forefront of intelligent automation, specializing in the integration of computer vision and artificial intelligence for autonomous systems. His most-cited work, "Design and Development of Intelligent AGV Using Computer Vision and Artificial Intelligence" (2017), has garnered 19 citations, establishing a foundational contribution to the field of autonomous guided vehicles (AGVs). In this pivotal study, Sharma demonstrated how AI-driven visual perception can enable AGVs to navigate complex, dynamic environments without pre-defined paths, significantly advancing the practical application of intelligent robotics in industrial automation. His research bridges the gap between theoretical AI models and real-world engineering solutions, with implications for smart manufacturing, logistics, and warehouse automation. By combining robust computer vision algorithms with adaptive AI decision-making, Sharma’s work has inspired further innovations in autonomous navigation and human-robot collaboration. His contributions are particularly notable for their emphasis on cost-effective, scalable designs that make intelligent automation accessible for small-to-medium enterprises. For students and researchers exploring the intersection of AI, robotics, and industrial systems, Arpit Sharma’s work offers a compelling blueprint for building smarter, more autonomous machines.