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    Home»AI & Automation»Edge AI for Robotics: What engineers need to know about Industrial Automation and Physical AI
    AI & Automation

    Edge AI for Robotics: What engineers need to know about Industrial Automation and Physical AI

    myappsplusBy myappsplusSeptember 19, 2026022 Mins Read
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    Edge AI for Robotics: What engineers need to know about Industrial Automation and Physical AI
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    2026 is pretty clearly the year of Physical AI, and there is much that engineers and developers need to know, especially in robotics and automation, now that Physical AI is the method of the moment.

    It’s fine if we all agree to use the new term, but to me, that means we need to be very careful about the new implications of what we decide to call Physical AI. Motor controls will need to become flawlessly precise and accurate. Tolerances will be set with zero margin for error when human safety is at stake, and security will have to enter the process even before virtualization or design begins. Automated, Robotic, and Physical AI systems need to have safeguards upon safeguards, redundancies, and humans in the loop. 

    These embedded computing evolutions all have great promise to lead to widespread innovations, but the learning curve is steep and broad. This book is designed to help level the way forward. 

    In this book, you’ll see research from Intel about adoption rates and success metrics, an exploration on test and measurement at the edge, how manufacturing operation management is leading the way into efficient operations, and lots more, so click through get ready to bring your Physical and Digital robotic words together.

    Edge Engineers Need Robotics What
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