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Manufacturing is moving toward open, software-defined automation platforms that unify Artificial Intelligence (AI), control, and orchestration at the edge. This solution brief covers the Robot Vision and Control (RVC) demo, which is based on Robot Operating System 2 (ROS 2) and unifies AI-powered perception with precise robotic control at the edge. Intel and Canonical support open, modular robotics solutions that integrate real-time-capable control, AI inference, and orchestration on Ubuntu—helping accelerate deployment, reduce the risk of vendor lock-in, and improve operational efficiency.

Neuro-T: No-code, GUI-based model trainer. Neuro-R: Runtime library for real-time model deployment. Core Technology: At the core of the solution is an Auto Deep Learning algorithm that automatically identifies optimal model architectures and tunes hyperparameters, eliminating the need for manual AI design or coding. Through simple GUI-based workflows, users can quickly generate highly accurate models optimized for real manufacturing conditions.

Overview of the Intel® Core™ Ultra Series 3 Mobile Reference Design (Panther Island), a compact platform for AI-ready edge and embedded computing with advanced connectivity, memory, and display capabilities.

NxEVOS powers intelligent video applications, unifying devices, data, and systems with a robust cloud layer. It enables developers to build smarter, interconnected solutions that turn video into operational intelligence. NxEVOS connects IoT sensors for real-time automation and supports AI-powered analytics via the Nx Toolkit and AI Manager to enable anomaly detection, automated insights, and proactive decision-making for efficiency.

Supermicro, Red Hat, Senao, Lanner and Intel join forces to create a family of edge computing solutions that are AI-ready and scalable for workload consolidation

Lanner’s ECA-5555 multi-access edge computing platform and IAC-PTL301A SmartNIC rely on high-performance Intel® Xeon® 6 processors to drive AI-enabled edge applications, vRAN, and MEC use cases

EdgeComp MS‑1335U is a rugged, fanless industrial PC engineered to bring advanced intelligence to the edge. Powered by 13th Gen Intel® Core™ processors, it delivers accelerated AI inference, responsive multi‑core performance, and seamless real‑time control for automation.

At Embedded World 2026, Intel presents its vision for next-generation industrial automation by integrating functional safety, deterministic real-time processing, and AI-driven robotics into a single high-performance edge solution. This breakthrough enables demanding applications, opening new possibilities for more performance-intensive Industrial applications, including collaborative robots (Cobots), Autonomous Mobile Robots (AMRs), and emergent markets (e.g., humanoids) where Safety matters.

Neousys Nuvo-9000 series rugged embedded computer addresses key challenges including system reliability in harsh industrial environments, limited I/O and expansion flexibility, and increasing compute demands driven by automation, machine vision, and industrial IoT.

The AXE-7440GW is a 4U Edge AI GPU Server designed to overcome the performance bottlenecks of large-scale generative AI and high-end vision analytics in field environments. By integrating a single Intel® Xeon® 600 processor for Workstations with support for up to three triple-width or four double-width high-end GPU cards, it solves the challenge of processing complex AI workloads locally, without data-center latency.

Robotics developers face increasing demands for real-time AI processing, multi-sensor integration, and precise motion control—often requiring complex system architectures. The CEXD-INTRBL addresses these challenges with an all-in-one robotics development platform powered by Intel® Core™ Ultra Series 3 processor, integrating CPU, GPU, and NPU acceleration in a compact edge system.

The UP Xtreme PTL Edge directly addresses the industry challenge of deploying high-performance AI inference and complex workload integration at the edge. Current solutions often lack the necessary compute density or efficient power profile for advanced tasks like large language models (LLM) and real-time robotics.