环境:
1、ubuntu20.0.4
2、ros
3、vscode
mkdir -p ~/catkin_ws/src#创建文件夹cd ~/catkin_ws/src#进入目录catkin_init_workspace#初始化,使其成为ROS的工作空间
cd ..
catkin_make
在ubuntu系统中,存在两个python;python2.7和python3.8;又装了一个conda后,出现了第三个版本的python3.9,所以需要改为指定采用下面的命令。
catkin_make -DPYTHON_EXECUTABLE=/usr/bin/python3
source devel/setup.bash
echo $ROS_PACKAGE_PATH
进入src目录下键入下面命令创建功能包
catkin_create_pkg learning_communication std_msgs rospy roscpp
#格式分别是catkin_create_pkg+功能包名+定义的标准的数据结构+提供的编程接口
cd ~/catkin_ws
catkin_make
1、初始化ROS节点
2、向ROS Master注册节点信息,包括发布的话题名和话题中的消息类型
3、按照一定频率循环发布消息
#include
#include"ros/ros.h"
#include"std_msgs/String.h"
int main(int argc,char **argv)
{setlocale(LC_CTYPE, "zh_CN.utf8");//ROS节点初始化ros::init(argc,argv,"talker");//创建节点句柄ros::NodeHandle n;//创建一个Publisher,发布名为chatter的topic,消息类型为std_msgs::Stringros::Publisher chatter_pub=n.advertise("chatter",1000);//设置循环的频率ros::Rate loop_rate(10);int count=0;while(ros::ok()){//初始化std_msgs::String类型的消息std_msgs::String msg;std::stringstream ss;ss<<"你好:混子王江江!"<
1、初始化ROS节点
2、订阅需要的话题
3、循环等待话题消息,接受到消息后进行回调函数回调函数中完成消息处理
#include"ros/ros.h"
#include"std_msgs/String.h"
//接收到订阅的消息,会进入消息的回调函数
void chatterCallback(const std_msgs::String::ConstPtr& msg)
{//将接收到的消息打印处理ROS_INFO("I heard:{%s}",msg->data.c_str());
}
int main(int argc,char **argv)
{setlocale(LC_CTYPE, "zh_CN.utf8");//初始化ROS节点ros::init(argc,argv,"listener");//创建节点句柄ros::NodeHandle n;//创建一个Subscriber,订阅名为chatter的topic,注册回调函数chatterCallbackros::Subscriber sub=n.subscribe("chatter",1000,chatterCallback);//循环等待回调函数ros::spin();return 0;
}
add_executable(talker src/talker.cpp)
target_link_libraries(talker ${catkin_LIBRARIES})
add_executable(listener src/listener.cpp)
target_link_libraries(listener ${catkin_LIBRARIES})
编译成功!
roscore
rosrun learning_communication talker
rosrun learning_communication listener
测试成功!
int64 a
int64 b
---
int64 sum
message_generation
message_runtime
message_generation
CATKIN DEPENDS roscpp rospy std msgs message runtime
add_service_files(FILES AddTowInts.srv
# Service1.srv
# Service2.srv)
1、初始化ROS节点
2、创建Serve实例
3、循环等待服务请求,进入回调函数
4、在回调函数中完成服务功能的处理,并反馈应答数据
#include
#include"learning_communication/AddTwoInts.h"
//service回调函数,输入参数req,输出参数res
bool add(learning_communication::AddTwoInts::Request &req,learning_communication::AddTwoInts::Response &res)
{//将输入的参数中的请求数据相加,结果放到应答变量中res.sum=req.a+req.b;ROS_INFO("request: x=%1d,y=%1d",(long int)req.a,(long int)req.b);ROS_INFO("sending back response:[%1d]",(long int)res.sum);return true;
}
int main(int argc,char **argv)
{//ROS节点初始化ros::init(argc,argv,"add_two_ints_server");//创建节点句柄ros::NodeHandle n;//创建一个名为add_two_ints的server,注册回调函数add()ros::ServiceServer service=n.advertiseService("add_two_ints",add);//循环等待回调函数ROS_INFO("Ready to add two ints.");ros::spin();return 0;
}
1、初始化ROS节点
2、创建一个Client实例
3、发布服务请求数据
4、等待Serve处理之后的应答结果
#include
#include
#include"learning_communication/AddTwoInts.h"
int main(int argc,char **argv)
{//ROS节点初始化ros::init(argc,argv,"add_two_ints_client");//从终端命令行获取两个加数if(argc!=3){ROS_INFO("usage:add_two_ints_client X Y");return 1;}//创建节点句柄ros::NodeHandle n;//创建一个client,请求add_two_ints_service//service消息类型是learning_communication::AddTwoIntsros::ServiceClient client=n.serviceClient("add_two_ints");//创建learning_communication::AddTwoInts类型的service消息learning_communication::AddTwoInts srv;srv.request.a=atoll(argv[1]);srv.request.b=atoll(argv[2]);//发布service请求,等待加法运算的应答请求if(client.call(srv)){ROS_INFO("sum: %1d",(long int)srv.response.sum);}else{ROS_INFO("Failed to call service add_two_ints");return 1;}return 0;
}
add_executable(server src/server.cpp)
target_link_libraries(server ${catkin_LIBRARIES})
add_dependencies(server ${PROJECT_NAME}_gencpp)add_executable(client src/client.cpp)
target_link_libraries(client ${catkin_LIBRARIES})
add_dependencies(client ${PROJECT_NAME}_gencpp)
roscore
rosrun learning_communication server
rosrun learning_communication client 整数1 整数2
客户端发送一个运动坐标,模拟机器人运动到目标位置的过程。包括服务端和客户端的代码实现,要求带有实时位置反馈。
# Define the goal
float64 turtle_target_x # Specify Turtle's target position
float64 turtle_target_y
float64 turtle_target_theta
---
# Define the result
float64 turtle_final_x
float64 turtle_final_y
float64 turtle_final_theta
---
# Define a feedback message
float64 present_turtle_x
float64 present_turtle_y
float64 present_turtle_theta
/* 此程序通过通过动作编程实现由client发布一个目标位置然后控制Turtle运动到目标位置的过程*/
#include
#include
#include "learning_communication/TurtleMoveAction.h"
#include
#include
#include typedef actionlib::SimpleActionServer Server;struct Myturtle
{float x;float y;float theta;
}turtle_original_pose,turtle_target_pose;ros::Publisher turtle_vel;void posecallback(const turtlesim::PoseConstPtr& msg)
{ ROS_INFO("Turtle1_position:(%f,%f,%f)",msg->x,msg->y,msg->theta);turtle_original_pose.x=msg->x; turtle_original_pose.y=msg->y;turtle_original_pose.theta=msg->theta;}// 收到action的goal后调用该回调函数
void execute(const learning_communication::TurtleMoveGoalConstPtr& goal, Server* as)
{learning_communication::TurtleMoveFeedback feedback;ROS_INFO("TurtleMove is working.");turtle_target_pose.x=goal->turtle_target_x;turtle_target_pose.y=goal->turtle_target_y; turtle_target_pose.theta=goal->turtle_target_theta;geometry_msgs::Twist vel_msgs;float break_flag;while(1){ ros::Rate r(10);vel_msgs.angular.z = 4.0 * (atan2(turtle_target_pose.y-turtle_original_pose.y,turtle_target_pose.x-turtle_original_pose.x)-turtle_original_pose.theta);vel_msgs.linear.x = 0.5 * sqrt(pow(turtle_target_pose.x-turtle_original_pose.x, 2) +pow(turtle_target_pose.y-turtle_original_pose.y, 2)); break_flag=sqrt(pow(turtle_target_pose.x-turtle_original_pose.x, 2) +pow(turtle_target_pose.y-turtle_original_pose.y, 2));turtle_vel.publish(vel_msgs);feedback.present_turtle_x=turtle_original_pose.x;feedback.present_turtle_y=turtle_original_pose.y;feedback.present_turtle_theta=turtle_original_pose.theta;as->publishFeedback(feedback);ROS_INFO("break_flag=%f",break_flag);if(break_flag<0.1) break;r.sleep();}// 当action完成后,向客户端返回结果ROS_INFO("TurtleMove is finished.");as->setSucceeded();
}int main(int argc, char** argv)
{ros::init(argc, argv, "TurtleMove");ros::NodeHandle n,turtle_node;ros::Subscriber sub = turtle_node.subscribe("turtle1/pose",10,&posecallback); //订阅小乌龟的位置信息turtle_vel = turtle_node.advertise("turtle1/cmd_vel",10);//发布控制小乌龟运动的速度// 定义一个服务器Server server(n, "TurtleMove", boost::bind(&execute, _1, &server), false);// 服务器开始运行server.start();ROS_INFO("server has started.");ros::spin();return 0;
}
#include
#include "learning_communication/TurtleMoveAction.h"
#include
#include
#include typedef actionlib::SimpleActionClient Client;struct Myturtle
{float x;float y;float theta;
}turtle_present_pose;// 当action完成后会调用该回调函数一次
void doneCb(const actionlib::SimpleClientGoalState& state,const learning_communication::TurtleMoveResultConstPtr& result)
{ROS_INFO("Yay! The TurtleMove is finished!");ros::shutdown();
}// 当action激活后会调用该回调函数一次
void activeCb()
{ROS_INFO("Goal just went active");
}// 收到feedback后调用该回调函数
void feedbackCb(const learning_communication::TurtleMoveFeedbackConstPtr& feedback)
{ROS_INFO(" present_pose : %f %f %f", feedback->present_turtle_x,feedback->present_turtle_y,feedback->present_turtle_theta);
}int main(int argc, char** argv)
{ros::init(argc, argv, "TurtleMove_client");// 定义一个客户端Client client("TurtleMove", true);// 等待服务器端ROS_INFO("Waiting for action server to start.");client.waitForServer();ROS_INFO("Action server started, sending goal.");// 创建一个action的goallearning_communication::TurtleMoveGoal goal;goal.turtle_target_x = 1;goal.turtle_target_y = 1;goal.turtle_target_theta = 0;// 发送action的goal给服务器端,并且设置回调函数client.sendGoal(goal, &doneCb, &activeCb, &feedbackCb);ros::spin();return 0;
}
find_package(catkin REQUIRED COMPONENTSroscpprospystd_msgsmessage_generationactionlib_msgsactionlib
)
add_action_files(FILES TurtleMove.action
)
generate_messages(DEPENDENCIESstd_msgsactionlib_msgs)
add_executable(turtleMoveClient src/turtleMoveClient.cpp)
target_link_libraries(turtleMoveClient ${catkin_LIBRARIES})
add_dependencies(turtleMoveClient ${PROJECT_NAME}_gencpp)
add_executable(turtleMove src/turtleMove.cpp)
target_link_libraries(turtleMove ${catkin_LIBRARIES})
add_dependencies(turtleMove ${PROJECT_NAME}_gencpp)
message_generation actionlib actionlib_msgs message_runtime actionlib actionlib_msgs
依次打开四个终端运行:
roscore
rosrun turtlesim turtlesim_node
rosrun learning_communication turtleMove
rosrun learning_communication turtleMoveClient
这里学习了三种通信方式,话题、服务、动作等三种方式,我觉得难度在一级级的增加。通过这次作业,对三种通信方式的具体实现步骤有了更加清晰的了解,尤其对Cmaketext的文件的理解更深入。不足的是这次的分布式通信没有完成,总是出现各种各样的问题、ping不通或者是控制不了,云服务和其他电脑都试过了都不行,等下次看能不能实现在发表博客。
ROS基础——话题、服务、动作编程