Robohub.org
 

Gazebo rendering abstraction


by
30 September 2015



share this:

Ignition_Rendering
During his internship with OSRF, Mike Kasper developed a new ignition-robotics rendering library. The key feature of this library is that it provides an abstract render-engine interface for building and rendering scenes that allows the library to employ multiple underlying render engines.

The motivation for this work was to extend Gazebo’s rendering capabilities to provide near photo-realistic imagery for simulated camera sensors. This could then be used for the development and testing of perceptions algorithms.

As Gazebo currently employs the Object-Oriented Graphics Rendering Engine (OGRE), an OGRE-based implementation has been added to the ignition-rendering library. Additionally, a render-engine using NVIDIA’s OptiX ray-tracing engine has also been implemented. The current OptiX-based render-engine employs simple ray-tracing techniques, but will employ physically based path-tracing techniques in the future to generate photo-realistic imagery.

The following videos give an overview of the libraries’ current capabilities:

Source code for the ignition-rendering library is available here:
https://bitbucket.org/ignitionrobotics/ign-rendering



tags: ,


Open Source Robotics Foundation supports the development, distribution, and adoption of open source software for use in robotics research, education, and product development.
Open Source Robotics Foundation supports the development, distribution, and adoption of open source software for use in robotics research, education, and product development.





Related posts :

“Robot, make me a chair”

  17 Feb 2026
An AI-driven system lets users design and build simple, multicomponent objects by describing them with words.

Robot Talk Episode 144 – Robot trust in humans, with Samuele Vinanzi

  13 Feb 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Samuele Vinanzi from Sheffield Hallam University about how robots can tell whether to trust or distrust people.

How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu

and   12 Feb 2026
Find out more about work published at the Conference on Robot Learning (CoRL).

Sven Koenig wins the 2026 ACM/SIGAI Autonomous Agents Research Award

  10 Feb 2026
Sven honoured for his work on AI planning and search.

Robot Talk Episode 143 – Robots for children, with Elmira Yadollahi

  06 Feb 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Elmira Yadollahi from Lancaster University about how children interact with and relate to robots.

New frontiers in robotics at CES 2026

  03 Feb 2026
Henry Hickson reports on the exciting developments in robotics at Consumer Electronics Show 2026.

Robot Talk Episode 142 – Collaborative robot arms, with Mark Gray

  30 Jan 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Mark Gray from Universal Robots about their lightweight robotic arms that work alongside humans.

Robot Talk Episode 141 – Our relationship with robot swarms, with Razanne Abu-Aisheh

  23 Jan 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Razanne Abu-Aisheh from the University of Bristol about how people feel about interacting with robot swarms.


Robohub is supported by:





 













©2026.01 - Association for the Understanding of Artificial Intelligence