https://github.com/linZHank/turtlebot_rl

working on a turtlebot reinforcement learning in Gazebo and with help with a simplified openai_ros package
https://github.com/linZHank/turtlebot_rl

Last synced: 21 days ago
JSON representation

working on a turtlebot reinforcement learning in Gazebo and with help with a simplified openai_ros package

• Host: GitHub
• URL: https://github.com/linZHank/turtlebot_rl
• Owner: linZHank
• License: mit
• Created: 2018-08-15T18:27:48.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-10-08T17:11:00.000Z (about 6 years ago)
• Last Synced: 2024-08-05T17:24:06.035Z (4 months ago)
• Language: Python
• Homepage:
• Size: 152 KB
• Stars: 7
• Watchers: 1
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-Robot-Operating-Syetem - a turtlebot reinforcement learning in Gazebo

README

        
# Note

## Pre-requisite

- Install [ROS-Kinetic](http://wiki.ros.org/kinetic/Installation/Ubuntu), recommand Desktop-Full install.

- **(Optional, skip this step if you install ROS in Desktop-Full mode)** Install [Gazebo-7.0](http://gazebosim.org/tutorials?tut=install_ubuntu&ver=7.0)

- **(Optional)** Install [openai_ros](https://bitbucket.org/theconstructcore/openai_ros.git) 

## Setup Turtlebot Gazebo Simulation Environment

- Assume you have set up an ros workspace at `/home/yourname/ros_ws`, and ready to config the environment in it. 

`$ sudo apt install ros-kinetic-turtlebot-gazebo`

Sometimes, you may need to `$ cd /opt/ros/kinetic`, then `$ source setup.bash`

- To make sure `turtlebot_gazebo` is launchable, try `$ roslaunch turtlbot_gazebo turtlebot_world.launch`

- To get ready for reinforcement learning, `$ cd ~/ros_ws/src`, then clone this repo `$ git clone https://github.com/linZHank/turtlebot_rl.git`

## Start Q Learning

1. Launch learning environment, `$ roslaunch turtlebot_rl turtlebot_crib.launch` 

2. `$ cd /home/yourname/ros_ws/turtlebot_rl/scripts`, then `$ python crib_nav_qtable.py` to start Q learning.

> You can substitute `crib_nav_qtable.py` into `crib_nav_qnet.py` to start Q-net learning.

# Some notes on debugging original openai\_ros package

This repo was created to test the contents in this openai_ros's [tutorial](http://wiki.ros.org/openai_ros/TurtleBot2%20with%20openai_ros).

However, may be different configurations were implemented, I made following changes to realize my turtlebot bumping around in the maze. 


- In original tutorial, they must have a hokuyo lidar included in their simulation, 

but using their launch file would not bringup anything related to laser scan. 

So I have to copy the `fake laser` part in `turtlebot_gazebo`'s launch file.

Besides, the original tutorial was using the topic of `/kobuki/laser/scan` to publish laser's data,

hence I have to remap `scan` to `/kobuki/laser/scan` in my launch file.

- In original tutorial, they use topic of `cmd_vel` to publish command to control the turtlebot.

However, I found my turtlebot use topic of `/mobile_base/commands/velocity` to publish commands.

So, I have to edit ` ~/ros_ws/src/openai_ros/src/openai_ros/robot_envs/turtlebot2_env.py`.

> I don't understand why I cannot simply use a `remap` in my launch file to fix it.

Anyway, you'll find the topic around "line 76", just change the publisher's topic from `/cmd_vel` to `/mobile_base/commands/velocity`.

Then you should good to go.