AMRs, or autonomous mobile robots, are becoming more common in the workplace. They can be a perfect fit for industrial and automation applications, given the right controller and software stack. On the hardware side, the system could include a host of sensors, including cameras, radar, lidar, etc. Then on the software side, you obviously need to link al those components together, and be sure you can communication both internally and externally.

Industrial Embedded Computers are critical to IoT, AI, Machine Learning and Edge Computing applications thanks to their optimized bandwidth, low latency, flexibility, scalability, and reliability, paired with advanced security and privacy capabilities.

Embedded robotic controllers play a critical role in edge AI applications like robotics, autonomous mobile robots (AMRs), and autonomous driving applications. Serving as the central processing unit and control hub, robotic controllers are tasked with managing communication and control, as well as directing the autonomous behavior and intelligent decision-making for these robotic systems.

Industrial computers play a crucial role in edge AI and edge computing applications with their ability to provide advanced security and privacy, optimized bandwidth and latency, flexibility, scalability, reliability, and more. All these benefits are provided in the highly customizable MVP-5200 and MVP-6200 series of fanless modular computers from ADLINK Technology.

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Industrial computers play a crucial role in edge AI and edge computing applications, offering advanced security and privacy, reliability, and the ability to make decisions in real-time. However, with industrial edge computers that are both compact or expandable, engineers can configure industrial edge computers to fit their exact use case requirements.

ADLINK Technology Inc. released its new MVP Series fanless modular computers, the MVP-5200 Compact Modular Industrial Computers and MVP-6200 Expandable Modular Industrial Computers for 12/13th Gen Intel Core i9/i7/i5/i3 and Celeron processors. Up to 65W are supported by the Intel R680E chipset which can couple with GPU cards for AI inference at the edge.