Intel has introduced its Robotics AI Suite, a comprehensive platform designed to simplify and speed up the development of advanced robotics powered by physical AI. The suite includes reference applications, pre-qualified AI hardware systems, acceleration libraries, and benchmarking tools, all aimed at helping businesses deploy robotics solutions faster.
Seamlessly integrating with Intel Core Ultra processors, the Robotics AI Suite allows organizations to test, adapt, and scale AI-driven robotics solutions efficiently. Intel says the platform addresses common challenges in robotics projects, such as interoperability, skills gaps, and security concerns.
“The latest processors from Intel are capable of handling both real-time controls and AI perception in one processor,” said Matthew Formica, Senior Director and Head of Edge Product Marketing & AI PC/Edge AI Software Developer Relations at Intel. “This simplifies design, reduces costs and complexity, cuts development time, and helps bring robot innovations to market faster and more cost-effectively.”
Formica highlighted Intel’s Time Coordinated Computing (TCC), which optimizes performance for robotics workloads by prioritizing real-time access to memory and network resources. The new Intel Core Ultra processors are positioned as a solution for more affordable and scalable robotics deployments.
The launch also emphasizes Intel’s growing ecosystem partnerships with companies like RealSense, Techman Robot, and Fourier.
“Our collaboration with Intel helps robotics companies move faster from idea to product,” said Nadav Orbach, CEO of RealSense. “With Intel’s Robotics AI Suite and support for RealSense Depth Cameras, innovation, scalability, and adoption of physical AI are easier than ever.”
Scott Huang, COO of Techman Robot, added, “By integrating Intel’s all-in-one compute platform and Robotics AI Suite, we accelerate deployment and enhance flexibility in real-world manufacturing applications.”
The suite allows organizations to shorten development cycles, reuse validated code for tasks like perception and motion planning, and test workloads before investing in custom hardware. It also supports open-source integration to reduce proprietary lock-ins and includes built-in security measures to meet functional safety standards.
With quarterly updates on GitHub, Intel aims to make the Robotics AI Suite an evolving toolkit for developers, marking a step toward large-scale deployment of AI-powered robotics across industries.
Recent Random Post:
