Automate 2026: AMRs, cobots, humanoids, orchestration platforms, software systems & more

RealMan’s Global Link Network (GLN) is a system where robotic capabilities are no longer confined to a single location, but orchestrated across a global network. Instead of relying solely on pre-programmed automation, GLN introduces a paradigm where human intelligence remains in the loop, remotely guiding robots through real-world tasks with precision and adaptability. Through an immersive remote interface, operators can control robots in real time, executing tasks that range from everyday logistics 0 sorting, packing, material transfer - to more specialized applications such as inspection and facility operations. By turning every task into a data-generating process, GLN is also building a foundation for the next generation of embodied intelligence. Each remote interaction produces high-quality, real-world datasets - capturing motion, decision-making and environmental feedback in ways that simulation alone cannot replicate. These datasets are continuously fed back into model training, accelerating improvements in generalization and real-world performance. RealMan Robotics, realman-robotics.com, Booth 1484

From remote control to global infrastructure

RealMan’s Global Link Network (GLN) is a system where robotic capabilities are no longer confined to a single location, but orchestrated across a global network. Instead of relying solely on pre-programmed automation, GLN introduces a paradigm where human intelligence remains in the loop, remotely guiding robots through real-world tasks with precision and adaptability. Through an immersive remote interface, operators can control robots in real time, executing tasks that range from everyday logistics 0 sorting, packing, material transfer - to more specialized applications such as inspection and facility operations. By turning every task into a data-generating process, GLN is also building a foundation for the next generation of embodied intelligence. Each remote interaction produces high-quality, real-world datasets - capturing motion, decision-making and environmental feedback in ways that simulation alone cannot replicate. These datasets are continuously fed back into model training, accelerating improvements in generalization and real-world performance. RealMan Robotics, realman-robotics.com, Booth 1484

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