Xudong Mou

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About

Xudong Mou is a leading researcher at the forefront of industrial automation and the Industrial Internet of Things (IIoT), with a focused expertise in cloud-edge collaborative architectures for robotic systems. His work addresses the critical challenge of modernizing industrial robot operations, moving beyond traditional management methods to harness the power of cloud computing, big data, and edge intelligence. Mou’s most significant contribution is the conceptualization and development of intelligent service platforms that enable real-time, efficient, and scalable management of industrial robots. His highly cited 2020 paper on the "Cloud-Edge Collaborative Industrial Robotic Intelligent Service Platform" (14 citations) laid the groundwork for this paradigm, which was further refined in his 2024 work, "ACbot: an IIoT platform for industrial robots" (12 citations). To address the pressing need for low-latency data processing in applications like robot health management, Mou also pioneered novel two-stage scheduling methods for stream computing within cloud-edge environments (2022, 5 citations). Through this body of work, Mou is directly shaping the future of smart manufacturing, providing the foundational platforms and scheduling algorithms that enable more responsive, intelligent, and autonomous industrial ecosystems.