1.下载easy_handeye(标定的工具包)
https://github.com/IFL-CAMP/easy_handeye
2.下载vision_visp(标定过程调用)
https://github.com/lagadic/vision_visp
- 下载aruco_ros(标定过程调用)
https://github.com/pal-robotics/aruco_ros
- 进入/catkin_ws/src/easy_handeye/docs/example_launch目录下
官方提供的是UR5版本,修改为UR3版本,如下:
<arg name="robot_ip" doc="The IP address of the UR3 robot" />
<arg name="marker_size" doc="Size of the ArUco marker used, in meters" />
<arg name="marker_id" doc="The ID of the ArUco marker used" />
<!-- start the Kinect -->(我用的是kinect2:参考https://github.com/code-iai/iai_kinect2)
<include file="$(find kinect2_bridge)/launch/kinect2_bridge.launch" >
</include>
<!-- start ArUco -->
<node name="aruco_tracker" pkg="aruco_ros" type="single">
<remap from="/camera_info" to="/kinect2/hd/camera_info" />
<remap from="/image" to="/kinect2/hd/image_color_rect" />
<param name="image_is_rectified" value="true"/>
<param name="marker_size" value="0.02"/>
<param name="marker_id" value="582"/>
<param name="reference_frame" value="kinect2_rgb_optical_frame"/>
<param name="camera_frame" value="kinect2_rgb_optical_frame"/>
<param name="marker_frame" value="camera_marker" />
</node>
<!-- start the robot -->
<include file="$(find ur_modern_driver)/launch/ur3_bringup.launch">
<arg name="limited" value="true" />
<arg name="robot_ip" value="192.168.0.9" />
</include>
<include file="$(find ur3_moveit_config)/launch/ur3_moveit_planning_execution.launch">
<arg name="limited" value="true" />
</include>
<!-- start easy_handeye -->
<include file="$(find easy_handeye)/launch/calibrate.launch" >
<arg name="namespace_prefix" value="$(arg namespace_prefix)" />
<arg name="eye_on_hand" value="false" />
<arg name="tracking_base_frame" value="kinect2_rgb_optical_frame" />
<arg name="tracking_marker_frame" value="camera_marker" />
<arg name="robot_base_frame" value="base_link" />
<arg name="robot_effector_frame" value="wrist_3_link" />
<arg name="freehand_robot_movement" value="false" />
<arg name="robot_velocity_scaling" value="0.5" />
<arg name="robot_acceleration_scaling" value="0.2" />
</include>
5. 在该目录下执行
roslaunch ur3_kinect_calibration.launch
一定要打开如下image_viewer
选点总共17个位置(过程如下, 记得采点take sample),所有点采完后,进行compute
作者:SpengTAN
来源:CSDN
原文:https://blog.csdn.net/SpengTAN/article/details/90243200
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