pepper_dcm_robot repository

Repository Summary

Checkout URI https://github.com/ros-naoqi/pepper_dcm_robot.git
VCS Type git
VCS Version master
Last Updated 2017-11-16
Dev Status DEVELOPED
Released RELEASED

Packages

Name Version
pepper_dcm_bringup 0.0.5

README

pepper_dcm_robot =============

DCM stack integrating tools to control Pepper robot

Installation

  • install dependencies
sudo apt-get install ros-indigo-pepper-robot ros-indigo-pepper-meshes ros-indigo-pepper-control ros-indigo-naoqi-dcm-driver

sudo apt-get install ros-indigo-pepper-dcm-bringup

sudo apt-get install ros-indigo-pepper-moveit-config

How to use it

Trajectory control

To command your robot remotely with ROS control:

  • start the DCM bringup proving your robot's IP (be aware that the package will stop Autonomous Life on your robot)
roslaunch pepper_dcm_bringup pepper_bringup.launch robot_ip:=<ROBOT_IP>

  • start Naoqi Driver (to get the odom frame) proving your robot's IP
roslaunch naoqi_driver naoqi_driver.launch nao_ip:=<ROBOT_IP>

Control via MoveIt

  • start Moveit! to control the robot via GUI
roslaunch pepper_moveit_config moveit_planner.launch

  • check "Allow approximate IK solutions"
  • control a planning_group via an interactive marker

Control via Actionlib

  • you can send a trajectory to the desired controller (actionlib)
rosrun actionlib axclient.py <name of the goal topic of the action server>

example:

rosrun actionlib axclient.py /pepper_dcm/LeftArm_controller/follow_joint_trajectory/goal

To choose the controllers you want to load, modify pepper_control/launch/pepper_control_trajectory.launch. The list of implemented controllers, you can find in pepper_control/config/pepper_trajectory_control.yaml. You can start and stop the ros-controllers using the rqt plugin ControllerManager.

Position control

To command joints positions via ROS:

  • start the DCM bringup proving your robot's IP (be aware that the package will stop Autonomous Life on your robot):
roslaunch pepper_dcm_bringup pepper_dcm_bringup_position.launch robot_ip:=<ROBOT_IP>

  • send a position to the desired controller, for example
rostopic pub /pepper_dcm/HeadYaw_position_controller/command std_msgs/Float64 "data: 1"

Repository Summary

Checkout URI https://github.com/ros-naoqi/pepper_dcm_robot.git
VCS Type git
VCS Version master
Last Updated 2017-11-16
Dev Status DEVELOPED
Released RELEASED

Packages

Name Version
pepper_dcm_bringup 0.0.5

README

pepper_dcm_robot =============

DCM stack integrating tools to control Pepper robot

Installation

  • install dependencies
sudo apt-get install ros-indigo-pepper-robot ros-indigo-pepper-meshes ros-indigo-pepper-control ros-indigo-naoqi-dcm-driver

sudo apt-get install ros-indigo-pepper-dcm-bringup

sudo apt-get install ros-indigo-pepper-moveit-config

How to use it

Trajectory control

To command your robot remotely with ROS control:

  • start the DCM bringup proving your robot's IP (be aware that the package will stop Autonomous Life on your robot)
roslaunch pepper_dcm_bringup pepper_bringup.launch robot_ip:=<ROBOT_IP>

  • start Naoqi Driver (to get the odom frame) proving your robot's IP
roslaunch naoqi_driver naoqi_driver.launch nao_ip:=<ROBOT_IP>

Control via MoveIt

  • start Moveit! to control the robot via GUI
roslaunch pepper_moveit_config moveit_planner.launch

  • check "Allow approximate IK solutions"
  • control a planning_group via an interactive marker

Control via Actionlib

  • you can send a trajectory to the desired controller (actionlib)
rosrun actionlib axclient.py <name of the goal topic of the action server>

example:

rosrun actionlib axclient.py /pepper_dcm/LeftArm_controller/follow_joint_trajectory/goal

To choose the controllers you want to load, modify pepper_control/launch/pepper_control_trajectory.launch. The list of implemented controllers, you can find in pepper_control/config/pepper_trajectory_control.yaml. You can start and stop the ros-controllers using the rqt plugin ControllerManager.

Position control

To command joints positions via ROS:

  • start the DCM bringup proving your robot's IP (be aware that the package will stop Autonomous Life on your robot):
roslaunch pepper_dcm_bringup pepper_dcm_bringup_position.launch robot_ip:=<ROBOT_IP>

  • send a position to the desired controller, for example
rostopic pub /pepper_dcm/HeadYaw_position_controller/command std_msgs/Float64 "data: 1"

Repository Summary

Checkout URI https://github.com/ros-naoqi/pepper_dcm_robot.git
VCS Type git
VCS Version master
Last Updated 2017-11-16
Dev Status DEVELOPED
Released RELEASED

Packages

Name Version
pepper_dcm_bringup 0.0.5

README

pepper_dcm_robot =============

DCM stack integrating tools to control Pepper robot

Installation

  • install dependencies
sudo apt-get install ros-indigo-pepper-robot ros-indigo-pepper-meshes ros-indigo-pepper-control ros-indigo-naoqi-dcm-driver

sudo apt-get install ros-indigo-pepper-dcm-bringup

sudo apt-get install ros-indigo-pepper-moveit-config

How to use it

Trajectory control

To command your robot remotely with ROS control:

  • start the DCM bringup proving your robot's IP (be aware that the package will stop Autonomous Life on your robot)
roslaunch pepper_dcm_bringup pepper_bringup.launch robot_ip:=<ROBOT_IP>

  • start Naoqi Driver (to get the odom frame) proving your robot's IP
roslaunch naoqi_driver naoqi_driver.launch nao_ip:=<ROBOT_IP>

Control via MoveIt

  • start Moveit! to control the robot via GUI
roslaunch pepper_moveit_config moveit_planner.launch

  • check "Allow approximate IK solutions"
  • control a planning_group via an interactive marker

Control via Actionlib

  • you can send a trajectory to the desired controller (actionlib)
rosrun actionlib axclient.py <name of the goal topic of the action server>

example:

rosrun actionlib axclient.py /pepper_dcm/LeftArm_controller/follow_joint_trajectory/goal

To choose the controllers you want to load, modify pepper_control/launch/pepper_control_trajectory.launch. The list of implemented controllers, you can find in pepper_control/config/pepper_trajectory_control.yaml. You can start and stop the ros-controllers using the rqt plugin ControllerManager.

Position control

To command joints positions via ROS:

  • start the DCM bringup proving your robot's IP (be aware that the package will stop Autonomous Life on your robot):
roslaunch pepper_dcm_bringup pepper_dcm_bringup_position.launch robot_ip:=<ROBOT_IP>

  • send a position to the desired controller, for example
rostopic pub /pepper_dcm/HeadYaw_position_controller/command std_msgs/Float64 "data: 1"