Important Notice:

  Due to robot communication data format change, early users (xArm shipped before June 2019) are encouraged to upgrade their controller firmware immediately to drive the robot normally in future updates as well as to use newly developed functions. Please contact our staff to get instructions of the upgrade process. The old version robot driver can still be available in 'legacy' branch, however, it will not be updated any more.

Contents:

• 1. Introduction
• 2. Update History
• 3. Preparations
• 4. Get Started
• 5. Package Description & Usage Guidance
  • 5.1 xarm_description
  • 5.2 xarm_gazebo
  • 5.3 xarm_controller
  • 5.4 xarm_bringup
  • 5.5 xarm7_moveit_config
  • 5.6 xarm_planner
  • 5.7 xarm_api/xarm_msgs
    • 5.7.1 Starting xArm by ROS service (priority for the following operations)
    • 5.7.2 Joint space or Cartesian space command example
    • 5.7.3 I/O Operations
    • 5.7.4 Getting status feedback
    • 5.7.5 Setting Tool Center Point Offset
    • 5.7.6 Clearing Errors

1. Introduction

  This repository contains the 3D model of xArm and demo packages for ROS development and simulations.Developing and testing environment: Ubuntu 16.04 + ROS Kinetic Kame.
Instructions below is based on xArm7, other model user can replace 'xarm7' with 'xarm6' or 'xarm5' where applicable. For simplified Chinese instructions: 简体中文版

2. Update Summary

This package is still in early development, tests, bug fixes and new functions are to be updated regularly in the future.

• Add xArm 7 (old model) description files, meshes and sample controller demos for ROS simulation and visualization.
• Add Moveit! planner support to control Gazebo virtual model and real xArm, but the two can not launch together.
• Direct control of real xArm through Moveit GUI is still in beta version, please use it with special care.
• Add xArm hardware interface to use ROS position_controllers/JointTrajectoryController on real robot.
• Add xArm 6 simulation/real robot control support.
• Add simulation model of xArm Gripper.

3. Preparations before using this package

3.1 Install dependent package module

gazebo_ros_pkgs: http://gazebosim.org/tutorials?tut=ros_installing (if use Gazebo)
ros_control: http://wiki.ros.org/ros_control (remember to select your correct ROS distribution)
moveit_core: https://moveit.ros.org/install/

3.2 Go through the official tutorial documents

ROS Wiki: http://wiki.ros.org/
Gazebo Tutorial: http://gazebosim.org/tutorials
Gazebo ROS Control: http://gazebosim.org/tutorials/?tut=ros_control
Moveit tutorial: http://docs.ros.org/kinetic/api/moveit_tutorials/html/

3.3 Download the 'table' 3D model

  In Gazebo simulator, navigate through the model database for 'table' item, drag and place the 3D model inside the virtual environment. It will then be downloaded locally, as 'table' is needed for running the demo.

4. Getting started with 'xarm_ros'

4.1 Create a catkin workspace.

  If you already have a workspace, skip and move on to next part. Follow the instructions in this page. Please note that this readme instruction assumes the user continues to use '~/catkin_ws' as directory of the workspace.

4.2 Obtain the package

$ cd ~/catkin_ws/src
$ git clone https://github.com/xArm-Developer/xarm_ros.git

4.3 Install other dependent packages:

$ rosdep update
$ rosdep check --from-paths . --ignore-src --rosdistro kinetic

Please change 'kinetic' to the ROS distribution you use. If there are any missing dependencies listed. Run the following command to install:

$ rosdep install --from-paths . --ignore-src --rosdistro kinetic -y

And chane 'kinetic' to the ROS distribution you use.

4.4 Build the code

$ cd ~/catkin_ws
$ catkin_make

4.5 Source the setup script

$ echo "source ~/catkin_ws/devel/setup.bash" >> ~/.bashrc

Skip above operation if you already have that inside your ~/.bashrc. Then do:

$ source ~/.bashrc

4.6 First try out in RViz:

$ roslaunch xarm_description xarm7_rviz_display.launch

4.7 Run the demo in Gazebo simulator

$ roslaunch xarm_gazebo xarm7_beside_table.launch [run_demo:=true]

  Add the run_demo option if you wish to see a pre-programed loop motion in action. The command trajectory is written in xarm_controller\src\sample_motion.cpp. And the trajectory in this demo is controlled by pure position interface.

5. Package description & Usage Guidance

5.1 xarm_description

  xArm7 description files, mesh files and gazebo plugin configurations, etc. It's not recommended to change the xarm description file since other packages depend on it.

5.2 xarm_gazebo

  Gazebo world description files and simulation launch files. User can add or build their own models in the simulation world file.

5.3 xarm_controller

  Controller configurations, hardware_interface, robot command executable source, scripts and launch files. User can deploy their program inside this package or create their own. Note that effort controllers defined in xarm_controller/config are just examples for simulation purpose, when controlling the real arm, only 'position_controllers/JointTrajectoryController' interface is provided. User can add their self-defined controllers as well, refer to: http://wiki.ros.org/ros_control (controllers)

5.4 xarm_bringup

  launch files to load xarm driver to enable direct control of real xArm hardware.

5.5 xarm7_moveit_config

  Partially generated by moveit_setup_assistant, could use with Moveit Planner and Rviz visualization. If you have Moveit! installed, you can try the demo.

$ roslaunch xarm7_moveit_config demo.launch

To run Moveit! motion planner along with Gazebo simulator:

First run:

$ roslaunch xarm_gazebo xarm7_beside_table.launch

Then in another terminal:

$ roslaunch xarm7_moveit_config xarm7_moveit_gazebo.launch

If you have a satisfied motion planned in Moveit!, hit the "Execute" button and the virtual arm in Gazebo will execute the trajectory.

To run Moveit! motion planner to control the real xArm:

First make sure the xArm and the controller box are powered on, then execute:

$ roslaunch xarm7_moveit_config realMove_exec.launch robot_ip:=<your controller box LAN IP address>

Examine the terminal output and see if any error occured during the launch. If not, just play with the robot in Rviz and you can execute the sucessfully planned trajectory on real arm. But be sure it will not hit any surroundings before execution!

5.6 xarm_planner:

  This implemented simple planner interface is based on move_group from Moveit! and provide ros service for users to do planning & execution based on the requested target, user can find detailed instructions on how to use it inside xarm_planner package.

To launch the xarm simple motion planner together with the real xArm:

   $ roslaunch xarm_planner xarm_planner_realHW.launch robot_ip:=<your controller box LAN IP address> robot_dof:=<7|6|5>

Argument 'robot_dof' specifies the number of joints of your xArm (default is 7).

5.7 xarm_api/xarm_msgs:

  These two packages provide user with the ros services to control xArm without self-trajectory planning (through Moveit! or xarm_planner), the controller box computer will do the planning work. Note that these services does not use xarm hardware interface, which is for Moveit and 'JointTrajectoryController' interface. There are three types of motion command (service names) supported:

• move_joint: joint space point to point command, given target joint angles, max joint velocity and acceleration.
• move_line: straight-line motion to the specified Cartesian Tool Centre Point(TCP) target.
• move_lineb: a list of via points followed by target Cartesian point. Each segment is straight-line with Arc blending at the via points, to make velocity continuous.
  Please keep in mind that before calling the three motion services above, first set robot mode to be 0, then set robot state to be 0, by calling relavent services. Meaning of the commands are consistent with the descriptions in product user manual, other xarm API supported functions are also available as service call. Refer to xarm_msgs package for more details and usage guidance.

Starting xArm by ROS service:

  First startup the service server for xarm7, ip address is just an example:

$ roslaunch xarm_bringup xarm7_server.launch robot_ip:=192.168.1.128

  Then make sure all the servo motors are enabled, refer to SetAxis.srv:

$ rosservice call /xarm/motion_ctrl 8 1

  Before any motion commands, set proper robot mode(0: POSE) and state(0: READY) in order, refer to SetInt16.srv:

$ rosservice call /xarm/set_mode 0

$ rosservice call /xarm/set_state 0

Joint space or Cartesian space command example:

  All motion commands use the same type of srv request: Move.srv. For example, to call joint space motion with max speed 0.35 rad/s and acceleration 7 rad/s^2:

$ rosservice call /xarm/move_joint [0,0,0,0,0,0,0] 0.35 7 0 0

  To call Cartesian spece motion with max speed 200 mm/s and acceleration 2000 mm/s^2:

$ rosservice call /xarm/move_line [250,100,300,3.14,0,0] 200 2000 0 0

  To go back to home (all joints at 0 rad) position with max speed 0.35 rad/s and acceleration 7 rad/s^2:

$ rosservice call /xarm/go_home [] 0.35 7 0 0

Tool I/O Operations:

  We provide 2 digital, 2 analog input port and 2 digital output signals at the end I/O connector.

1. To get current 2 DIGITAL input states:

$ rosservice call /xarm/get_digital_in

2. To get one of the ANALOG input value:

$ rosservice call /xarm/get_analog_in 1  (last argument: port number, can only be 1 or 2)

3. To set one of the Digital output:

$ rosservice call /xarm/set_digital_out 2 1  (Setting output 2 to be 1)

  You have to make sure the operation is successful by checking responding "ret" to be 0.

Getting status feedback:

  Having connected with a real xArm robot by running 'xarm7_server.launch', user can subscribe to the topic "/xarm_states" for feedback information about current robot states, including joint angles, TCP position, error/warning code, etc. Refer to RobotMsg.msg for content details.
  Another option is subscribing to "/joint_states" topic, which is reporting in JointState.msg, however, currently only "position" field is valid; "velocity" is non-filtered numerical differentiation based on 2 adjacent position data, so it is just for reference; and we do not provide "effort" feedback yet.   In consideration of performance, current update rate of above two topics are set at 10Hz.

Setting Tool Center Point Offset:

  The tool tip point offset values can be set by calling service "/xarm/set_tcp_offset". Refer to the figure below, please note this offset coordinate is expressed with respect to initial tool frame (Frame B), which is located at flange center, with roll, pitch, yaw rotations of (PI, 0, 0) from base frame (Frame A).

  For example:

$ rosservice call /xarm/set_tcp_offset 0 0 20 0 0 0

  This is to set tool frame position offset (x = 0 mm, y = 0 mm, z = 20 mm), and orientation (RPY) offset of ( 0, 0, 0 ) radians with respect to initial tool frame (Frame B in picture). Remember to set this offset each time the controller box is restarted !

Clearing Errors:

  Sometimes controller may report error or warnings that would affect execution of further commands. The reasons may be power loss, position/speed limit violation, planning errors, etc. It needs additional intervention to clear. User can check error code in the message of topic "/xarm_states" .

$ rostopic echo /xarm_states

  If it is non-zero, the corresponding reason can be found out in the user manual. After solving the problem, this error satus can be removed by calling service "/xarm/clear_err" with empty argument.

$ rosservice call /xarm/clear_err

  After calling this service, please check the err status again in '/xarm_states', if it becomes 0, the clearing is successful. Otherwise, it means the error/exception is not properly solved. If clearing error is successful, remember to set robot state to 0 to make it ready to move again!