2: ROS at a high level slides |

ROS Fundamentals

• A distributed “operating system”
• A process coordinator and an inter-process communications model
• Different parts (nodes) can run on different computers
• They all need to be connected by a network via TCP/IP

Connecting via Network

• It could be a wired or wireless network
• Each participating computer must have an IP address
• An IP address can be represented as a subdomain name, e.g. robb.dyn.brandeis.edu
• And all participants must be “visible” to each other on the network

What are the possible participants?

• Computers (running any OS potentially)
  1. The robot itself
  2. Your ROS cluster account
• Really any computer with ROS installed
• Of course they need to be on the/a network
• EDUROAM or some other network.
• Somehow they need to know about each other
• Virtual Private Network

Look at our Lab Notebook! It has lots of useful information and a good search box!

Writing ROS software

• Can be written in Python or C++. We will be using Python exclusively
• Built up from multiple independent programs called Nodes
• Each node is implemented as a separate program
• It can use all the python features: classes, functions, imported packages, etc

ROS Nodes - the basic unit

• Fundamental concept in ROS
• ROS runs a number of collaborating processes called “nodes”
• Think of it as a program or a process which forms part of a system
  1. A real robot will have dozens to hundreds of nodes
  2. You can write nodes in Python (we will do) or C++
• Nodes talk to each other by publishing and subscribing to messages

Example of a very simple node

#!/usr/bin/env python
# Don't forget to chmod +x topic_publisher.py

import rospy
from std_msgs.msg import Int32

# Make this into a ROS node.
rospy.init_node('my_publisher_node')

# Prepare to publish topic `counter`
pub = rospy.Publisher('counter', Int32, queue_size=10)

# sleep at 2 loops per second
rate = rospy.Rate(2)
count = 0

# loop until ^c
while not rospy.is_shutdown():
    pub.publish(count)
    count += 1
    rate.sleep()
    rospy.sleep(0.5)

ROSCORE

• Program that acts as global coordinator of all the nodes
• It is run once at a known ip address or domain name
• Any other node will make contact with it to announce itself
• When one node talks to another, roscore helps them find each other and then steps out of the way.
• Everything starts with the ‘traffic-cop’ roscore
  1. Once roscore runs, additional nodes can run
• Each node is essentially a separate program, maybe even a single file
  1. A node can be written in Python or C++ (or really technically any language)
  2. We will use Python mostly

“Running” a ROS application

• Consists of several fairly independent nodes
• They all have to be launched
• Together they form the whole ROS application

ROS shell commands

• Also known as the ROS CLI - command line interface
• They take care of setting up the environment
• Here are the ones you must learn and get used to
  1. rosrun - runs a single ROS node
  2. roslaunch - launches a sequence of ROS Nodes
  3. rostopic - Inspect ROS topics
  4. roscd - change directory to a ROS package
  5. catkin_make (alias cm)

Our built-in aliases: See labnotebook aliases

• Reset environment: cs
• Rebuild cm
• My own IP address: myip
• My own vpn IP address myvpnip

ROS Directory Structure

• This is the standard directory structure

# top level directories. Once per system. This will already exist.
./catkin_ws
  /devel
  /build
  /src
     /cosi119_src/
        /src
        /...etc
        

Inside ./src there are directories each with a ROS package. They all have a standard shape as well and can be nested inside each other.

# Here is an example
 ./turtlebot3_gazebo
  /launch
    turtlebot3_stage_1.launch
    .
    .
  /src
    run_world.py
    turtlebot3_drive.cpp
  ... and other directories
  CMAkeLists.txt
  package.xml