NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development
NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development
NVIDIA Isaac ROS 5.0, released at ROSCon 2026, enhances open source robotics development with agentic workflows, GPU acceleration, and new skills for perception and manipulation. It supports ROS Lyrical and Ubuntu 24.04, enabling developers to build and deploy high-performance robotics applications using NVIDIA's accelerated computing and AI models.
NVIDIA Isaac ROS 5.0 introduces agentic workflows and enhanced platform support, enabling developers to build and deploy robotics applications with GPU acceleration and AI agent integration. The release includes new skills for perception and manipulation, as well as compatibility with ROS Lyrical and Ubuntu 24.04.
Source: NVIDIA — Robotics · Read original article ↗
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Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
ROS users
1,300,000
View original evidence
s and production-ready libraries to the nearly 1.3 million ROS users, helping developers build high-performance robotics applications using free, familiar, open source tools. Bringing AI Agents Into Robotics Development AI agents are changing how software is built, helping developers automate repetitive tasks, navigate complex codebases and move from ideas to working applications faster. Isaac ROS 5.0 brings these ca
Open source S4
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s and production-ready libraries to the nearly 1.3 million ROS users, helping developers build high-performance robotics applications using free, familiar, open source tools. Bringing AI Agents Into Robotics Development AI agents are changing how software is built, helping developers automate repetitive tasks, navigate complex codebases and move from ideas to working applications faster. Isaac ROS 5.0 brings these ca
Open source S4
rt of the newly released Intrinsic Core , an open source suite of preconfigured runtime services and capabilities designed to accelerate industrial robotics applications . It includes built-in compatibility with NVIDIA FoundationPose for out-of-the-box object registration, tracking and pose estimation. Using the FoundationPose perception pipeline , the solution enables robots to dynamically detect and handle parts wh
Open source S11
o makes it easier for AI agents to understand Isaac ROS tools and workflows, turning developer intent into working applications faster. Some skills go beyond assisting with individual coding tasks. A new FoundationStereo fine-tuning skill enables an AI agent to help adapt a stereo perception model to a developer’s cameras, environment and robotics application, so developers can easily achieve more accurate perception
Open source S7
for a given sensor configuration. FoundationPose, a foundation model for object pose estimation and tracking, now provides an agent-ready inference library that enables robots to perceive and track the position and orientation of objects up to 5.5x faster. In addition, pick and place — a common workflow that connects detection, depth estimation and pose output — is now available as a standalone, agent-ready skill, p
Open source S8
Nano to high-performance Jetson Thor devices, giving developers a path from development to deployment as robotics workloads become increasingly sophisticated. Robotics companies are already using this combination to bring more AI processing directly onto their machines. Mentee Robotics uses NVIDIA Isaac ROS as the perception and AI backbone of its MenteeBot humanoid, enabling the robot to interpret visual information
Open source S19
Source：NVIDIA — Robotics · blogs.nvidia.com