Use Cases


Issue link:

Contents of this Issue


Page 0 of 1

and Secure Innovation in Industrial Environments AI Amplifies Opportunities for Efficient, Safe, INDUSTRIAL ROBOTICS AI ADVANCES NEXT-GENERATION THE CHALLENGE Emerging instances of AI-enabled cobots, autonomous vehicles, and non-piloted drone operations are part of an expanding array of innovative use cases in industrial robotics. Industrial robotics integrated with AI are predicted to spur market growth by a projected CAGR of more than 15% in coming years, reaching USD 66.48 billion by 2027, according to Fortune Business Insights. As barriers between human activities and robotic capabilities diminish — moving beyond the fenced activities of last- generation industrial robots — new collaboration and workflow models are bringing humans and robots together in industry. Despite advances, however, expanding the range of use cases for robotics in Industrial IoT (IIoT) environments requires negotiating 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 commu- nication services to interact with robotics systems in real time. THE APPROACH Artificial intelligence is critical to new robotics approaches. And rather than augment- ing existing machine operations by bolting on AI-driven components, AI-first puts the intelligence at the forefront of the design process to perform at the core of a task. The focus is on building solutions that meld hardware and software to effectively use machine learning and AI-guided functions, performing operations with greater speed, reliability, security, and safety. As with digital transformation, the AI-first approach requires a rethinking of traditional design — transforming architectures to satisfy the solution requirements over the full lifecycle, rather than just reorganizing and tinkering with existing solutions. The Wind River portfolio, with its multiple solutions and purpose-built embedded components, provides a flexible and agile foundation for meeting this need. Wind River solutions are elements of an extensive roadmap leading to the benefits and enhanced business value promised by today's industrial robotics. INDUSTRIAL ROBOTICS SECTOR CHALLENGES • 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. • Recent advances in artificial intelligence (AI) combined with new communica - tion 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 auto - mation, transportation breakthroughs, and unprecedented efficiency. WIND RIVER SOLUTIONS • Wind River Studio operator capabilities: Integrates cloud platform, orchestration, and analytics capabilities so operators can deploy and manage their intelligent 5G edge networks globally • VxWorks: The world's leading RTOS, enabling deterministic applications scal - ing from very small compute packages • Wind River Simics: Allows developers to simulate anything, chip to system, and get the access, automation, and collabora- tion tools required for agile development practices • Wind River Helix Virtualization Platform: A real-time, embedded, Type 1 hypervi- sor that can manage unmodified guest operating systems running in virtual machines, consolidating workloads for factory control automation 1

Articles in this issue