Tianyu Wo

Beijing Advanced Sciences and Innovation Center, Ji Hua Laboratory, Beihang University

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About

Tianyu Wo is a leading researcher in cloud-edge collaborative computing, industrial robotics, and the Industrial Internet of Things (IIoT). His work focuses on bridging the gap between cloud and edge systems to enable real-time, intelligent automation in manufacturing. Wo’s major contributions include the development of the **ACbot platform**, an IIoT system designed to manage and optimize industrial robot operations through cloud-edge synergy. His foundational paper, *“Cloud-Edge Collaborative Industrial Robotic Intelligent Service Platform”* (2020, 14 citations), introduced a novel architecture that integrates cloud computing and big data to address the scalability and latency challenges of traditional robot management. Wo further advanced this field with *“Two-stage Scheduling of Stream Computing for Industrial Cloud-edge Collaboration”* (2022, 5 citations), which proposed efficient scheduling methods for time-sensitive stream tasks like robot health monitoring. His most recent work, *“ACbot: an IIoT platform for industrial robots”* (2024, 12 citations), continues to push the boundaries of smart manufacturing. With a cumulative impact of over 30 citations across his key papers, Wo’s research is shaping the future of intelligent industrial automation, offering practical solutions for real-time data processing and collaborative robotics.