• Stars
    star
    173
  • Rank 220,124 (Top 5 %)
  • Language
    Python
  • License
    BSD 3-Clause "New...
  • Created over 6 years ago
  • Updated over 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

ROS support for the MiR Robots. This is a community project to use the MiR Robots with ROS. It is not affiliated with Mobile Industrial Robots.

mir_robot

This repo contains a ROS driver and ROS configuration files (URDF description, Gazebo launch files, move_base config, bringup launch files, message and action descriptions) for the MiR robots. This is a community project created by us (DFKI, the German Research Center for Artificial Intelligence) to use the MiR Robots with ROS. We are not affiliated with Mobile Industrial Robots. If you find a bug or missing feature in this software, please report it on the issue tracker.

Supported MiR robots and software versions

This repo has been confirmed to work with the following robots:

  • MiR 100
  • MiR 200
  • MiR 500

It probably also works with the MiR250 and MiR1000. If you can test it on one of those, please let us know if it works.

This repo has been tested with the following MiR software versions:

  • 2.8.3.1
  • 2.13.4.1

You can try if it works with other versions, but these are the ones that are known to work.

Package overview

  • mir_actions: Action definitions for the MiR robot
  • mir_description: URDF description of the MiR robot
  • mir_dwb_critics: Plugins for the dwb_local_planner used in Gazebo
  • mir_driver: A reverse ROS bridge for the MiR robot
  • mir_gazebo: Simulation specific launch and configuration files for the MiR robot
  • mir_msgs: Message definitions for the MiR robot
  • mir_navigation: move_base launch and configuration files

Installation

You can chose between binary and source install below. If you don't want to modify the source, the binary install is preferred (if mir_robot binary packages are available for your ROS distro). The instructions below use the ROS distro noetic as an example; if you use a different distro (e.g. melodic), replace all occurrences of the string noetic by your distro name in the instructions.

Preliminaries

If you haven't already installed ROS on your PC, you need to add the ROS apt repository. This step is necessary for either binary or source install.

sudo sh -c 'echo "deb http://packages.ros.org/ros/ubuntu $(lsb_release -sc) main" > /etc/apt/sources.list.d/ros-latest.list'
wget http://packages.ros.org/ros.key -O - | sudo apt-key add -
sudo apt-get update -qq

Binary install

For a binary install, it suffices to run this command:

sudo apt install ros-noetic-mir-robot

See the tables at the end of this README for a list of ROS distros for which binary packages are available.

Source install

For a source install, run the commands below instead of the command from the "binary install" section.

# create a catkin workspace
mkdir -p ~/catkin_ws/src
cd ~/catkin_ws/src/

# clone mir_robot into the catkin workspace
git clone -b noetic https://github.com/DFKI-NI/mir_robot.git

# use rosdep to install all dependencies (including ROS itself)
sudo apt-get update -qq
sudo apt-get install -qq -y python-rosdep
sudo rosdep init
rosdep update
rosdep install --from-paths ./ -i -y --rosdistro noetic

# build all packages in the catkin workspace
source /opt/ros/noetic/setup.bash
catkin_init_workspace
cd ~/catkin_ws
catkin_make -DCMAKE_BUILD_TYPE=RelWithDebugInfo

In case you encounter problems, please compare the commands above to the build step in .github/workflows/github-actions.yml; that should always have the most recent list of commands.

You should add the following line to the end of your ~/.bashrc, and then close and reopen all terminals:

source ~/catkin_ws/devel/setup.bash

Gazebo demo (existing map)

mir_gazebo+navigation_4x.mp4
### gazebo:
roslaunch mir_gazebo mir_maze_world.launch
rosservice call /gazebo/unpause_physics   # or click the "start" button in the Gazebo GUI

### localization:
roslaunch mir_navigation amcl.launch initial_pose_x:=10.0 initial_pose_y:=10.0
# or alternatively: roslaunch mir_gazebo fake_localization.launch delta_x:=-10.0 delta_y:=-10.0

# navigation:
roslaunch mir_navigation start_planner.launch \
    map_file:=$(rospack find mir_gazebo)/maps/maze.yaml \
    virtual_walls_map_file:=$(rospack find mir_gazebo)/maps/maze_virtual_walls.yaml
rviz -d $(rospack find mir_navigation)/rviz/navigation.rviz

Now, you can use the "2D Nav Goal" tool in RViz to set a navigation goal for move_base.

Gazebo demo (mapping)

### gazebo:
roslaunch mir_gazebo mir_maze_world.launch
rosservice call /gazebo/unpause_physics   # or click the "start" button in the Gazebo GUI

### mapping:
roslaunch mir_navigation hector_mapping.launch

# navigation:
roslaunch mir_navigation move_base.xml with_virtual_walls:=false
rviz -d $(rospack find mir_navigation)/rviz/navigation.rviz

Gazebo demo (MiR 250 in warehouse Gazebo world)

mir_250_warehouse_mapping.mp4

This repo contains URDF descriptions for the MiR 100 (default) and the MiR 250. You can switch to the MiR 250 by adding mir_type:=mir_250 to the gazebo roslaunch command. You can also select another Gazebo world using the world_name argument. For example, the video above was generated using the following commands:

cd <your catkin workspace>
git clone -b ros1 https://github.com/aws-robotics/aws-robomaker-small-warehouse-world.git
catkin build

roslaunch mir_gazebo mir_empty_world.launch \
        world_name:=$(rospack find aws_robomaker_small_warehouse_world)/worlds/no_roof_small_warehouse.world \
        mir_type:=mir_250

... and then running the remaining commands from the "mapping" section above.

Gazebo demo (multiple robots)

If you want to spawn multiple robots into Gazebo, you unfortunately have to hard-code the name of the second robot into the mir_empty_world.launch file, like this:

diff --git i/mir_gazebo/launch/mir_empty_world.launch w/mir_gazebo/launch/mir_empty_world.launch
index 27b9159..7773fae 100644
--- i/mir_gazebo/launch/mir_empty_world.launch
+++ w/mir_gazebo/launch/mir_empty_world.launch
@@ -17,6 +17,10 @@
       <remap from="$(arg namespace)/mobile_base_controller/cmd_vel" to="$(arg namespace)/cmd_vel" />
       <remap from="$(arg namespace)/mobile_base_controller/odom"    to="$(arg namespace)/odom" />

+      <remap from="mir2/joint_states"                   to="mir2/mir/joint_states" />
+      <remap from="mir2/mobile_base_controller/cmd_vel" to="mir2/cmd_vel" />
+      <remap from="mir2/mobile_base_controller/odom"    to="mir2/odom" />
+
       <include file="$(find gazebo_ros)/launch/empty_world.launch">
         <arg name="world_name" value="$(arg world_name)"/>
         <arg name="paused" value="true" />

Then you can run the simulation like this:

# start Gazebo + first MiR
roslaunch mir_gazebo mir_maze_world.launch tf_prefix:=mir

# first MiR: start localization, navigation + rviz
roslaunch mir_navigation amcl.launch initial_pose_x:=10.0 initial_pose_y:=10.0 tf_prefix:=mir#
roslaunch mir_navigation start_planner.launch \
        map_file:=$(rospack find mir_gazebo)/maps/maze.yaml \
        virtual_walls_map_file:=$(rospack find mir_gazebo)/maps/maze_virtual_walls.yaml prefix:=mir/
ROS_NAMESPACE=mir rviz -d $(rospack find mir_navigation)/rviz/navigation.rviz

# spawn second MiR into Gazebo
roslaunch mir_gazebo mir_gazebo_common.launch robot_x:=-2 robot_y:=-2 tf_prefix:=mir2 model_name:=mir2 __ns:=mir2

# second MiR: start localization, navigation + rviz
roslaunch mir_navigation amcl.launch initial_pose_x:=8.0 initial_pose_y:=8.0 tf_prefix:=mir2
roslaunch mir_navigation start_planner.launch \
        map_file:=$(rospack find mir_gazebo)/maps/maze.yaml \
        virtual_walls_map_file:=$(rospack find mir_gazebo)/maps/maze_virtual_walls.yaml prefix:=mir2/
ROS_NAMESPACE=mir2 rviz -d $(rospack find mir_navigation)/rviz/navigation.rviz

Running the driver on the real robot

Start up the robot

  • switch on MiR base

Connect to the MiR web interface

  • connect to MiR_R??? wifi (password "mirex4you"), for example from your Android phone/tablet
  • disable other network connections (mobile data / LAN / etc.)
  • open mir.com (192.168.12.20) in Chrome (!)
  • log in (admin/mir4you)

Synchronize system time

The internal robot PC's is not synchronized (for example via NTP), so it tends to get out of sync quickly (about 1 second per day!). This causes TF transforms timing out etc. and can be seen using tf_monitor (the "Max Delay" is about 3.3 seconds, but should be less than 0.1 seconds):

$ rosrun tf tf_monitor
Frames:
Frame: /back_laser_link published by unknown_publisher Average Delay: 3.22686 Max Delay: 3.34766
Frame: /base_footprint published by unknown_publisher Average Delay: 3.34273 Max Delay: 3.38062
Frame: /base_link published by unknown_publisher Average Delay: 3.22751 Max Delay: 3.34844
Frame: /front_laser_link published by unknown_publisher Average Delay: 3.22661 Max Delay: 3.34159
Frame: /imu_link published by unknown_publisher Average Delay: 3.22739 Max Delay: 3.34738
Frame: /odom published by unknown_publisher Average Delay: 3.16493 Max Delay: 3.28667
[...]

All Broadcasters:
Node: unknown_publisher 418.344 Hz, Average Delay: 0.827575 Max Delay: 3.35237
Node: unknown_publisher(static) 465.362 Hz, Average Delay: 0 Max Delay: 0

To fix this:

  • go to "Service" -> "Configuration" -> "System settings" -> "Time settings" -> "Set device time on robot"

Afterwards, the ROS software on the robot will restart, so you'll have to start move_base again (see below).

If you have an external PC on the MiR platform, you can use chrony to automatically synchronize system time (see below).

Start move_base on the robot

  • go to "Service" -> "Configuration" -> "Launch menu", start "Planner"; this starts move_base and amcl on the robot

Teleoperate the robot (optional)

  • go to "Manual", press yellow button (LEDs change from yellow to blue); now the robot can be teleoperated

Relocalize robot (optional)

If the robot's localization is lost:

  • go to "Service" -> "Command view" -> "Set start position" and click + drag to current position of robot in the map
  • click "Adjust"

Start the ROS driver

roslaunch mir_driver mir.launch

Advanced

Installing chrony to synchronize system time automatically

If you have an external PC integrated into your robot that is on the same wired network as the MiR PC, you can use chrony to automatically synchronize the MiR's system time. Unfortunately, this method is not easy to install.

Let's call the external PC external-pc. That PC's clock is our reference clock. It is synced to an NTP clock whenever the external-pc has access to the internet. To implement this synchronization solution, install chrony on both the external-pc and the internal PC of the MiR, and set up the external-pc as the chrony server and the internal MiR PC as the chrony client. This way, the clocks on these systems always stay in sync without any manual interaction.

To install things on the internal MiR PC:

  • connect a monitor and keyboard to the ports that are exposed on one corner of the MiR
  • boot into a live USB linux system
  • chroot into the MiR PC
  • download chrony_2.1.1-1ubuntu0.1_amd64.deb, libtomcrypt0_1.17-7ubuntu0.1_amd64.deb, libtommath0_0.42.0-1.2_amd64.deb and timelimit_1.8-1_amd64.deb from a PC that has internet and install them in the chroot environment onto the MiR PC using dpkg -i
  • set up /etc/chrony/chrony.conf

Troubleshooting

Got a result when we were already in the DONE state

Sometimes the move_base action will print the warning "Got a result when we were already in the DONE state". This is caused by a race condition between the /move_base/result and /move_base/status topics. When a status message with status SUCCEEDED arrives before the corresponding result message, this warning will be printed. It can be safely ignored.

Gazebo prints errors: "No p gain specified for pid."

These errors are expected and can be ignored.

Unfortunately, we cannot set the PID gains (to silence the error) due to the following behavior of Gazebo:

  1. When using the PositionJointInterface, you must set the PID values for the joints using that interface, otherwise you will run into this bug.
  2. When using the VelocityJointInterface, if you omit the PID values, Gazebo just perfectly follows the commanded velocities. If you specify PID values, Gazebo will use a PID controller to approximate following the commanded velocities, so you have to tune the PID controllers.

Since we just want Gazebo to follow our commanded velocities, we cannot set the PID values for joints using the VelocityJointInterface, so the errors get printed (but can be ignored).

GitHub Actions - Continuous Integration

Noetic
Build Status

ROS Buildfarm

Melodic source deb Melodic binary deb Noetic source deb Noetic binary deb
mir_actions Build Status Build Status Build Status Build Status
mir_description Build Status Build Status Build Status Build Status
mir_driver Build Status Build Status Build Status Build Status
mir_dwb_critics Build Status Build Status Build Status Build Status
mir_gazebo Build Status Build Status Build Status Build Status
mir_msgs Build Status Build Status Build Status Build Status
mir_navigation Build Status Build Status Build Status Build Status
mir_robot Build Status Build Status Build Status Build Status
sdc21x0 Build Status Build Status Build Status Build Status
Melodic devel Melodic doc Noetic devel Noetic doc
mir_robot Build Status Build Status Build Status Build Status

More Repositories

1

phobos

An add-on for Blender allowing to create URDF, SDF and SMURF robot models in a WYSIWYG environment.
Python
706
star
2

pytransform3d

3D transformations for Python.
Python
534
star
3

movement_primitives

Dynamical movement primitives (DMPs), probabilistic movement primitives (ProMPs), and spatially coupled bimanual DMPs for imitation learning.
Python
117
star
4

hand_embodiment

Embodiment mapping for robotic hands from human hand motions.
Python
27
star
5

slam3d

The SLAM3D library is a standalone framework for multimodal graph based Simultaneous Localization and Mapping.
C++
20
star
6

deformable_gym

A collection of RL gymnasium environments for learning to grasp 3D deformable objects.
Python
20
star
7

NovelWrist

Julia package for the kinematic analysis of the 2SPU+2RSU+1U wrist mechanism.
Julia
6
star
8

robot_remote_control

A library for framework independent remote control of semi-autonomous robots. The library is in active development and might change a lot.
C++
6
star
9

docker_image_development

Scritps and Dockerfiles to support docker-based, 3D accelerated development and release of docker images
Shell
6
star
10

CoBaIR

Python
4
star
11

xtypes

C++
3
star
12

xtypes_generator

C++
3
star
13

slam3d-ros

C++
3
star
14

vMCI_segmentation

Python
2
star
15

bagel_gui

A GUI to view and edit Bagel graphs.
C++
2
star
16

c_bagel

C implementation for the execution of Bagel graphs.
C
2
star
17

bagel_magic

Wizard to manage Bagel models associated with robot modes of MARS simulation.
Python
2
star
18

xdbi

C++
2
star
19

dfki-ric.github.io

List of open source software
HTML
2
star
20

BagelMARS

A MARS plugin that can load Bagel graphs into MARS and provides the graph in- and outputs to DataBroker.
C++
1
star
21

bagel_wiki

This repository includes the documentation for the Bagel packages.
Shell
1
star
22

gh-landing-page-template

Template for paper descriptions
HTML
1
star
23

cpp_bagel_wrapper

C++ library to load and execute Bagel graphs via the c_bagel package
C++
1
star
24

slam3d-orogen

C++
1
star
25

bagel_package_set

Definition of Bagel packages
1
star
26

ugv_nav4d

C++
1
star