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About

Lothar Thiele is a prominent researcher whose work bridges wireless networked control systems, cyber-physical systems, and embedded machine learning. His research focuses on enabling reliable, low-latency wireless communication for demanding real-time applications, with particular emphasis on closing feedback control loops over low-power multi-hop wireless networks — a challenge central to modern smart manufacturing and autonomous robotics. Thiele's most influential contribution, "Wireless Control for Smart Manufacturing" (2020), has garnered 69 citations and provides a comprehensive framework for understanding how flexible wireless systems can replace rigid wired assembly lines, driving cost and resource efficiency. His 2019 work, "Feedback Control Goes Wireless," with 47 citations, demonstrated that guaranteed stability and fast update intervals of tens of milliseconds are achievable over low-power wireless infrastructure — a breakthrough for swarm coordination and robot motion control. His follow-on studies further extended these guarantees to networks with dynamic mode changes. More recently, Thiele has expanded into on-device deep learning with MIMONet, exploring multi-input multi-output neural network architectures for intelligent embedded systems. Collectively, his research shapes the foundations of next-generation industrial automation and cyber-physical systems, making him a key figure in the wireless control and edge intelligence communities.