Getting Started with ROS on Embedded Systems: A Comprehensive Guide
🚧 Documentation under development
The Getting Started with ROS on Embedded Systems guide is currently under active development. Some sections may be incomplete or change without notice.
Questions? Contact RidgeRun or email to support@ridgerun.com.
|
Getting Started with ROS on Embedded Systems! Getting Started with ROS on Embedded Systems. |
|
| ||||||||||||
|
Getting Started with ROS on Embedded Systems | ||||||||||||||
|
In this wiki, you will find technical documentation, tutorials, examples, and much more!
| ||||||||||||||
|
RidgeRun support | ||||||||||||||
|
RidgeRun provides support for embedded Linux development for NVIDIA's platforms, specializing in the use of hardware accelerators in multimedia applications. RidgeRun's products take full advantage of the accelerators that NVIDIA exposes to perform transformations on the video streams achieving great performance on complex processes. This page contains detailed guides and information on how to get started with the Getting Started with ROS on Embedded Systems and starts using its full capabilities. To get up-to-speed with your Getting Started with ROS on Embedded Systems, start by clicking below:
| ||||||||||||||
 For direct inquiries, please refer to the contact information available on our Contact page. Alternatively, you may complete and submit the form provided at the same link. We will respond to your request at our earliest opportunity.
Links to RidgeRun Resources and RidgeRun Artificial Intelligence Solutions can be found in the footer below.
ARTIFICIAL INTELLIGENCE
| ||||||||||||||
