Rahul Sundar

Papers

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About

Rahul Sundar is a pioneering researcher at the intersection of cloud computing and robotics, with a primary focus on developing scalable, intelligent frameworks for industrial automation. His most influential work, "A Development of Cloud Based Robotics Design Networks for Industry Applications" (2024), has already garnered 4 citations, addressing the critical challenge of deploying computationally expensive deep neural networks (DNNs) on resource-constrained robotic hardware. Sundar’s key contribution lies in designing cloud-based architectures that offload heavy DNN tasks—such as localization, situational awareness, planning, and object recognition—from low-power robots to remote servers, enabling real-time, high-performance operations without sacrificing mobility or cost-efficiency. This work bridges the gap between advanced AI and practical industrial robotics, offering a blueprint for scalable, intelligent manufacturing systems. By tackling the bottleneck of onboard computational limits, Sundar’s research has significant implications for smart factories, autonomous logistics, and collaborative robots. His innovative approach not only enhances robotic autonomy but also reduces hardware costs, making cutting-edge AI accessible to a broader range of industries. Sundar’s contributions are shaping the future of cloud robotics, positioning him as a rising voice in the field of industrial AI and automation.