Robotics Advance with AI Technologies

Despite surging interest in industrial robotics, fundamental challenges still exist when trying to perform business operations and automate workflows across hybrid network environments and disparate systems.

But recent advances in artificial intelligence (AI) combined with new communication technologies, including 5G, help integrate robotics into software-defined infrastructures as part of the full-scale digital transformation of organizations. This confluence of technologies creates abundant opportunities for factory automation, transportation breakthroughs, and unprecedented efficiency.

Expanding the range of use cases for robotics in Industrial IoT (IIoT) environments requires resolving long-standing technical roadblocks. This includes the challenge of integrating diverse components across heterogeneous networks; employing machine learning to build and operate intelligent systems that adapt to workflows; and implementing responsive, low-latency communication services to interact with robotics systems in real time. The fourth industrial revolution, popularly known as Industry 4.0, is driven by digital transformation, high-speed connectivity, lightning-fast communications, IIoT best practices, and AI technologies. These solutions are predicted to increase operation costs savings by 8.5%,2 according to ABI Research and Ericsson. Those organizations that embrace the empowering technologies are well positioned to gain the benefits conferred: organization-wide cost savings, greater agility in software development and deployment, more complete integration with existing business units and systems, and enhanced efficiencies across all areas of business operations.

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Next-Generation Industrial Robotic Capabilities Advanced by Artificial Intelligence
Next-Generation Industrial Robotic Capabilities Advanced by Artificial Intelligence

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