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Beyond Automation: How AI is Redefining Industrial Systems
发布时间:2026-04-08 来源:新闻中心 10

   

哈尔滨工业大学(深圳)学术讲座

演讲人SpeakerValeriy Vyatkin

Title: Beyond Automation: How AI is Redefining Industrial Systems

时间Date2026414日      

Time:下午1500 ~ 1600

地点VenueL213-214


内容摘要Abstract

This talk presents a structured overview of the role of artificial intelligence in industrial automation, distinguishing between operational applications and engineering transformations. Industrial automation is no longer limited to predefined control logic; data and learning systems increasingly drive it. On the operational side, AI enables data-driven decision-making through predictive models for energy consumption, production capacity, and system flows, as well as optimisation of processes such as scheduling and resource allocation. It also supports predictive maintenance, reducing downtime and improving reliability, while opening new service-oriented opportunities built on industrial data.


A key focus is the use of multi-agent and collaborative AI systems, where distributed agents coordinate to solve complex industrial problems such as energy optimisation and material handling. These systems, inspired by swarm intelligence, demonstrate  robustness and scalability in dynamic environments. Human-AI collaboration is also  emphasised, highlighting how AI systems can augment human operators rather than  replace them. From an engineering perspective, AI is reshaping software development practices, introducing learning-based components and reasoning models that enable more adaptive and intelligent industrial systems. Together, these developments illustrate how AI is transforming industrial automation into a more flexible, efficient, and intelligent paradigm.


This talk presents practical solutions and hands-on experiences from the Aalto Factory of the Future and LTU AIC-Cube laboratories, illustrating how recent European projects contribute to and align with the broader Industry X.0 vision.

个人简介(About the speaker):

Valeriy Vyatkin is Professor ofInformation Technologies in Automation at Aalto University, Finland, and holds a Visiting Professor of  Computer Science appointment at LuleåUniversity of Technology, Sweden. After obtaining a PhD degree in Applied Computer Science in Russia in 1992, he earned a second PhD degree in Electrical Engineering from Nagoya Institute of Technology in 1999. An IEEE Fellow and the recent Vice-President for Technical Activities of the IEEE Industrial Electronics   Society (2022-25), he is an internationally recognised leader in industrial automation and applied artificial intelligence.

His research focuses on applying AI to industrial automation, covering swarm  intelligence for decentralised decision-making in cyber-physical systems, multi-agent  software architectures, AI-assisted systems and software engineering, declarative  knowledge modelling, and real-time logical inference for flexible, reconfigurable systems. He directs the Aalto Factory of the Future laboratory. In the past decades, he  played a leading role in many European projects such as MEDUSA, ZeroSWARM, 1-SWARM, ERA-NET, Arrowhead fPVN and DAEDALUS, as well as national projects funded by NSF, VR, the Research Council of Finland, and other funding agencies in Japan, Germany, New Zealand, Sweden, Finland, and the EU. His expertise spans information technologies in factory automation, SmartGrid, material handling, datacentres modelling and automation, building management systems, and reconfigurable manufacturing, enabling organisations to navigate digital transformation in manufacturing, energy, logistics and embedded systems, and to build AI-augmented, dependable engineering teams.