Participate in the Robot Operating System 2 (ROS 2) Hardware Acceleration Working Group (HAWG) and stay current on our latest contributions to acceleration with ROS 2 and Gazebo flows
This white paper adopts a ROS 2 roboticist-centric view for adaptive computing and proposes an architecture to include FPGAs as a first-class participant of the ROS 2 ecosystem. The architecture described in this white paper is platform- and technology-agnostic.
Learn how the new software solution coupled with Kria SOMs and a ROS 2 development approach gives roboticists the capability to create custom deterministic, secure, and faster compute architectures to commercialize their robotic system.
The Kria robotics stack (KRS) is an integrated set of robot libraries and utilities that use hardware to accelerate the development, maintenance, and commercialization of industrial-grade robotic solutions. It adopts the ROS 2 Software Development Kit (SDK) and enables a ROS 2-centric development approach that spans from the creation of computational graphs to the commercialization of ROS 2 overlay workspaces found in the Xilinx App Store.
Download the stack now and access documentation and tutorials on our GitHub page.
With the KV260 Vision AI Starter Kit, you can take full advantage of the robotics stack and prototype your robotics system in real hardware.
The KV260 is built for advanced application development without requiring complex hardware design knowledge. Create software-defined hardware for robots using adaptive computing and interface with any sensor or actuator in real-time.
Join the Xilinx Robotics Solutions program to have an opportunity to become an early adopter and influence features and capabilities of upcoming Kria SOM-based robotics, machine vision, industrial communications, and control solutions from Xilinx, including updates to the Kria robotics stack.
The Hardware Acceleration Working Group (HAWG) focuses on reducing time to compute Gazebo and ROS 2-based robotic flows by producing specialized compute architectures that rely on FPGAs, GPUs, or ASICs.
Stay up to date on the latest contributions from Xilinx on design tool integration, acceleration architecture reference examples, facilitation of testing environments, and more.
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