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Robotics

An open source approach to physical AI from Intrinsic

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An open source approach to physical AI from Intrinsic

Intrinsic (an AI robotics group at Google) announced that the company is making parts of its platform open source. Intrinsic Core is a set of ROS-compatible capabilities for building sophisticated robotic applications.

Intrinsic Control . A hardware-agnostic, real-time control framework that delivers sensor-based control. It allows the robot to dynamically adapt its behavior mid-trajectory based on changes in the environment. It is designed to deliver efficient, collision-free paths. The idea is that users can swap out different robot arms, grippers, sensors, and more without needing to rewrite drivers.

Pose estimation . Provides an accurate six degrees of freedom pose estimation of 3D parts.

Grasp planning . Designed to enable various grippers to automatically and dynamically adapt to the location and orientation of a part and grasp it with a higher probability of success.

Simulation services . These aim to provide a straightforward way to test and troubleshoot robotic solutions that update as you build.

Camera calibration . Automates how a robot’s camera can be calibrated and physically aligned

Intrinsic-ROS drivers . Pre-configured, ROS-compatible drivers for supported robots, grippers, and 3D cameras.

Alongside this package, Intrinsic has also released Open Machine Tending Solution (OMTS). This is a ready-made reference design for a real-world use case. The intention is to give developers a starting point to customize their own solution, without needing to build from scratch.



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