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walking机器人仿真教程-应用-多点导航结合拍照功能实现移动摄影

walking机器人仿真教程-应用-多点导航结合拍照功能实现移动摄影

说明:

  • 介绍如何结合多点导航和拍照功能实现移动摄影
  • 想法:每天可以在各个房间不同点进行拍照
  • 实现原理:通过航点编辑器设置航点文件增加操作项,再通过python3导航脚本读取航点文件,获取航点进行导航,根据操作字段operate判断为拍照动作,从而启动拍照程序

步骤:

  • 加载gazebo
. /usr/share/gazebo/setup.bash 
  • 启动仿真
ros2 launch walking_application house_world_v2.launch.py
  • gazebo效果:

请输入图片描述

  • rviz效果: 

请输入图片描述

  • 摄像头效果: 

请输入图片描述

  • 设计航点
  • 利用walking_navigation多点导航面板, 参考和目标点设置工具walkingGoal,参考,设定航点并保存航点

请输入图片描述

  • 保存文件到目录并命名:/home/ubuntu/waypoints/house_waypoints_picture.json
  • 再利用航点编辑工具,设置航点操作为TakePicture

请输入图片描述

  • 保存文件到目录并命名:/home/ubuntu/waypoints/house_waypoints_picture_ed.json
  • 启动导航
ros2 run walking_application run_inspection_v4.py
  • 文件已经默认指定航点文件为/home/ubuntu/waypoints/house_waypoints_picture_ed.json
  • 执行效果: 
$ ros2 run walking_application run_inspection_v4.py
pygame 2.1.2 (SDL 2.0.16, Python 3.8.10)
Hello from the pygame community. https://www.pygame.org/contribute.html
[INFO] [1653532675.804807687] [basic_navigator]: Publishing Initial Pose
[INFO] [1653532679.841127306] [basic_navigator]: Nav2 is ready for use!
[INFO] [1653532679.842634932] [basic_navigator]: Navigating to goal: -6.65857267 -0.0444915...
Executing current waypoint: 1
Executing current waypoint: 1
Executing current waypoint: 1
Executing current waypoint: 1
Executing current waypoint: 1
waypoint 1 is complete! 
Begin to take picture!
take picture is done!
[INFO] [1653532758.265608384] [basic_navigator]: Navigating to goal: -6.3024497 -2.95511127...
Executing current waypoint: 2
Executing current waypoint: 2
Executing current waypoint: 2
Executing current waypoint: 2
Executing current waypoint: 2
Executing current waypoint: 2
waypoint 2 is complete! 
Begin to take picture!
take picture is done!
[INFO] [1653532823.229803675] [basic_navigator]: Navigating to goal: 0.0 0.0...
  • 执行之后,自动在房间内导航,到达一个航点之后,会启动拍照程序
  • 图片保存的目录位于/home/ubuntu/Pictures/下,命名类似:pic_202205272005.jpg
  • 进入图片目录,可以使用命令eog pic_202205272005.jpg查看图片
  • 使用的航点文件位于/home/ubuntu/waypoints/house_waypoints_picture_ed.json

演示视频

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