Parametric Robot Control Documentation

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We are currently starting to invite groups of people to test Parametric Robot Control. Thank you for giving it a try, your feedback is appreciated! Johannes

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Overview

Proven - builds upon the well-established KUKA|prc framework
Robot-Agnostic – unified interface across robot systems (KUKA, ABB, UR, Neura, igus...)
Modular – integrates into host software as plugins, such as Grasshopper and Grasshopper 2
Programmable – gRPC API for custom applications
Standalone – single executable, no ROS2 required
Flexible – runs on Windows, macOS, and Linux
Accessible – reference implementation for Grasshopper

Parametric Robot Control (PRC) brings robot simulation and control to the environment of your choice. A single cross-platform server handles kinematics, simulation, collision checking, and code generation for robots from KUKA, ABB, Universal Robots, NEURA, and more – while lightweight clients connect to it via gRPC from Grasshopper, Blender, Unity, Python, the browser, or any platform you build yourself. PRC is the successor to KUKA|prc: rewritten from scratch, robot-agnostic, and designed around the same connectivity paradigm as modern robotic systems like Boston Dynamics' Spot SDK and KUKA's iiQKA.

Scenarios

Where can you best utilize the new PRC?