What you will learn?

In this video you will learn how to use openai_ros package to make learn the WAM-V sea robot of the RobotX Challenge to pass the first Navigation Control.  The only thing you need to code is the AI algorithm if you want to use a different one to the one provided Q-Learn.

You can run the ROSject containing all the ROS code and simulation of the robot and sea by clicking on the next button:

And here the different gits used:

• OpenAI_ROS package: [https://bitbucket.org/theconstructcore/openai_ros/src/master/]
• Example Code: [https://bitbucket.org/theconstructcore/openai_examples_projects/src/tutorials/]
• Simulation: [https://bitbucket.org/theconstructcore/vmrc/src/master/]

And a course on OpenAI in RobotIgniteAcademy: OpenAI Gym for ROS Based Robots 101

Link to RobotX PDF instructions for the challenge:
[https://robotx.org/images/files/RobotX_2018_Task_Summary.pdf]
[https://www.robotx.org/]