6、使用RViz 仿真 TurtleBot3

本文详细介绍如何从零开始搭建ROS工作环境,包括设置catkin工作空间、安装TurtleBot3依赖包及仿真环境。通过具体步骤指导读者进行TurtleBot3的仿真操作,包括使用键盘控制机器人移动、调整视图、检查节点状态等。

1、如果前面一直没有创建ros工作环境,创建一个和大家一样的先

mkdir -p ~/catkin_ws/src
cd ~/catkin_ws/
catkin_make

source devel/setup.bash
echo $ROS_PACKAGE_PATH

2、安装turtlebot3依赖:

sudo apt-get install ros-kinetic-joy ros-kinetic-teleop-twist-joy ros-kinetic-teleop-twist-keyboard ros-kinetic-laser-proc ros-kinetic-rgbd-launch ros-kinetic-depthimage-to-laserscan ros-kinetic-rosserial-arduino ros-kinetic-rosserial-python ros-kinetic-rosserial-server ros-kinetic-rosserial-client ros-kinetic-rosserial-msgs ros-kinetic-amcl ros-kinetic-map-server ros-kinetic-move-base ros-kinetic-urdf ros-kinetic-xacro ros-kinetic-compressed-image-transport ros-kinetic-rqt-image-view ros-kinetic-gmapping ros-kinetic-navigation

3、安装TurtleBot3 Simulation

cd ~/catkin_ws/src/
git clone https://github.com/ROBOTIS-GIT/turtlebot3_msgs.git
git clone https://github.com/ROBOTIS-GIT/turtlebot3.git
git clone https://github.com/ROBOTIS-GIT/turtlebot3_simulations.git
cd ~/catkin_ws
rosdep install --from-paths src -i -y 
catkin_make
source ./devel/setup.bash

上面第二句的意思是安装依赖的意思。  

4、启动仿真

export TURTLEBOT3_MODEL=burger
roslaunch turtlebot3_fake turtlebot3_fake.launch

5、点击move camera,然后缩放鼠标可以放大缩小机器人

 

6、使用键盘控制仿真的机器人

(1)

cd ~/catkin_ws
source ./devel/setup.bash
export TURTLEBOT3_MODEL=burger
roslaunch turtlebot3_teleop turtlebot3_teleop_key.launch

 (2)控制的键盘如下

7、输入rqt_graph查看节点和话题

 8、随便修改下shape的几个参数,让箭头小一些看起来漂亮点

 

9、查看tf变换

 (1)在左侧选中TF

(2)

rosrun rqt_tf_tree rqt_tf_tree

### RTABMap Simulation with TurtleBot3 ROS Gazebo Setup and Configuration For integrating RTAB-Map with the TurtleBot3 in a ROS-Gazebo simulation environment, several steps need to be followed carefully. The process involves setting up both software packages correctly as well as configuring necessary launch files. #### Setting Up Environment Variables To start working within an appropriate simulation scenario for TurtleBot3, one must set specific environmental variables that define which model of TurtleBot is being used: ```bash export TURTLEBOT3_MODEL=waffle_pi ``` This command prepares the system to work specifically with the Waffle Pi version of TurtleBot3[^1]. #### Launching the Simulation Environment Once the correct model has been specified via environment variable, initiating the desired simulation can proceed using `roslaunch` alongside specifying the `.launch` file associated with the house world provided by TurtleBot3 package: ```bash roslaunch turtlebot3_gazebo turtlebot3_house.launch ``` The above line starts the Gazebo simulator configured according to the parameters defined inside `turtlebot3_house.launch`, creating a virtual space where experiments involving navigation or mapping could take place. #### Establishing Communication Between ROS & Gazebo Integration between ROS 2 nodes and entities present within Gazebo requires establishing proper channels for exchanging information such as sensor readings or actuator commands. Utilizing tools like `ros_gz_bridge` facilitates bridging these two environments effectively so they may interact seamlessly during simulations[^2]: ```xml <node name="bridge_node" pkg="ros_gz_bridge" type="parameter_bridge" output="screen"> <!-- Define topics here --> </node> ``` Within XML-based launch configurations, adding elements similar to those shown allows bidirectional message passing across platforms without requiring manual intervention each time new connections are established. #### Configuring RTAB-Map Nodes After ensuring all prerequisites mentioned earlier are met satisfactorily, attention turns towards preparing RTAB-Map components responsible for processing sensory input gathered throughout exploration activities conducted virtually on behalf of our robotic agent. A typical setup might include launching dedicated instances capable of handling tasks related either exclusively to SLAM operations or visual odometry estimation depending upon application requirements: ```bash roslaunch rtabmap_ros rgbd_mapping.launch \ rtabmap_args:="--delete_db_on_start" ``` Or alternatively focusing solely on localization capabilities when pre-existing maps already exist: ```bash roslaunch rtabmap_ros stereo_localization.launch \ rviz:=true map_name:=/path/to/existing_map.db ``` These examples illustrate how versatile RTAB-Map&#39;s architecture proves itself adaptable enough not only supporting standalone operation modes but also facilitating integration efforts aimed at enhancing overall functionality offered through collaborative endeavors linking multiple frameworks together cohesively[^4].
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