Open Source Robotics Foundation (OSRF) is a participant in Google's Summer of Code and Gnome Foundation's Outreach Program for Women. Accepted students will work with OSRF mentors to develop code for Gazebo, ROS, and CloudSim.
Take a look at OSRF's GSoC project list and OPW project list. These projects are only suggestions, and we highly encourage applicants to propose different projects. Make sure to contact OSRF to discuss project ideas and any questions you may have. OSRF maintains two mailing lists: email@example.com and firstname.lastname@example.org.
The Gazebo website gets a fresh look
A few years is a long time on the web, and Gazebo's internet presence had started to show it's age.
Gazebo's face lift includes a streamlined look and feel with key information at your finger tips. We have also adopted a mobile-first strategy, so break out your phones and tablets and head over to gazebosim.org.
In addition to the website, Gazebo has started a Google+ account, a Robotics Simulation Community, and a Twitter account. Don't forget to check out the YouTube channel for the latest simulation videos.
Gazebo now supports the use of four different physics engines:
We are especially excited about the addition of DART and Simbody, which are Featherstone-based engines optimized for joint chains. By comparison, Bullet and ODE are maximal coordinate solvers which are optimized for performance over many independent models. Each physics engine was developed by its own community, motivated by a particular application domain, from gaming (Bullet) to simplified robot dynamics (ODE) to biomechanics (Simbody) to computer graphics and robot control (DART).
To our knowledge, this is the first time that such a diverse set of physics engines has been supported in one simulator.
By supporting multiple engines, Gazebo allows the user to choose the approach that performs best for his or her needs. For example, maximal coordinate solvers like ODE and Bullet perform well when simulating cluttered environments, while Featherstone-based solvers like DART and Simbody are potentially more accurate in simulating articulated systems such as humanoid robots.
All four physics engines can be accessed through Gazebo’s generic physics API. Users can simulate dynamic models created using Simulation Description Format (SDF) or Unified Robot Description Format (URDF) with any of the four supported physics engines.
Below is a video demonstration of the Atlas robot performing a dynamic walking task with Boston Dynamics's proprietary walking controller. The results from all four physics engines are superimposed: