Intrinsic Core Released: Open-Source, ROS-Compatible Real-Time Control Framework
Intrinsic Core released: Open-source, ROS-compatible real-time control, motion planning and more
During ROSCon, Intrinsic AI released Intrinsic Core, an open-source framework providing a hardware-agnostic real-time control system compatible with ROS. The release includes SDKs for motion planning, pose estimation, and simulation tools, along with a reference design for Open Machine Tending Solution (OMTS). Community members have already adapted the framework for tasks like picking up car wheels using custom grippers and larger robots, leveraging local inference and ARM support.
Source: ROS Discourse — Community updates · Read original article ↗
Article text · Original source · English
A couple of weeks ago during ROSCon, we released Intrinsic Core (GitHub - intrinsic-ai/intrinsic-core: Intrinsic Core™ provides an open, local runtime, SDK, and hardware agnostic, real-time control framework for industrial robotics. · GitHub), open-sourcing foundational capabilities and services from Intrinsic that we’ve been using for real-world manufacturing deployments. Intrinsic Core is interoperable with ROS via standard workspaces, message definitions, and tools, allowing developers to combine their existing ROS packages with Intrinsic capabilities.
We wanted to make it easier to prototype manufacturing workcells. It’s a pre-configured setup containing:
- A hardware-agnostic, real-time control framework, delivering fast, sensor-based feedback
- Pose estimation, motion planning, and grasp planning capabilities
- Simulation tools and a native digital twin
- A reference solution called the Open Machine Tending Solution (OMTS), giving developers a ready-made starting point for real-world CNC machine tending.
The coolest part since releasing this has been watching what people are already doing with it. We’ve seen community members build variations on OMTS that are picking up and inserting car wheels with a custom gripper and larger robot. It’s exciting to see people jumping in and demonstrating this with local inference and ARM support.
As a longtime contributor to open source robotics, I’m excited to see what else we’ll build together - and the solutions made possible by collaborating in the open!
If you want to dig into the code, try out the reference design, or check out how the real-time controller is structured, you can get the repo here:
Repository intrinsic-ai/intrinsic-core
GitHub - intrinsic-ai/intrinsic-core: Intrinsic Core™ provides an open, local runtime,...
Intrinsic Core™ provides an open, local runtime, SDK, and hardware agnostic, real-time control framework for industrial robotics.
Connect and find out more
We’re really trying to make this as practical and open as possible for the developer community. Join the Intrinsic developer community to access resources, news, and a community for support. Let us know your thoughts, feedback, or hear about what kind of hardware setups you’d want to test this on.
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A couple of weeks ago during ROSCon, we released Intrinsic Core ( GitHub - intrinsic-ai/intrinsic-core: Intrinsic Core™ provides an open, local runtime, SDK, and hardware agnostic, real-time control framework for industrial robotics. · GitHub ), open-sourcing foundational capabilities and services from Intrinsic that we’ve been using for real-world manufacturing deployments. Intrinsic Core is interoperable with ROS v
Open source S2
Source:ROS Discourse — Community updates · discourse.openrobotics.org
