bool MoveObject::goObject() { //connet to the Server, 5s limit while (!move_base.waitForServer(ros::Duration(5.0))) { ROS_INFO("Waiting for move_base action server..."); } ROS_INFO("Connected to move base server"); /t the targetpose move_base_msgs::MoveBaseGoal goal; goal.target_pose.header.frame_id = "map"; goal.target_pose.header.stamp = ros::Time::now(); target_odom_point.pose.pose.position.x=Obj_pose.pose.position.x; target_odom_point.pose.pose.position.y=Obj_pose.pose.position.y; cout << goal.target_pose.pose.position.x << endl; cout << goal.target_pose.pose.position.y << endl; //goal.target_pose.pose.orientation = tf::createQuaternionMsgFromYaw(g.response.yaw); //goal.target_pose.pose.orientation.z = 0.0; //goal.target_pose.pose.orientation.w = 1.0; double roll,pitch,yaw; tf::quaternionMsgToTF(target_odom_point.pose.orientation, quat); tf::Matrix3x3(quat).getRPY(roll, pitch, yaw);//进行转换 if(yaw>3.14) { yaw -=2*PI;//旋转 target_odom_point.pose.position.x -=keep_distance*cos(yaw); target_odom_point.pose.position.y -=keep_distance*sin(yaw); goal.target_pose.pose.position.x=target_odom_point.pose.pose.position.x goal.target_pose.pose.position.y=target_odom_point.pose.pose.position.y target_odom_point.pose.orientation = tf::createQuaternionMsgFromYaw(yaw); goal.target_pose.pose.orientation.w= target_odom_point.pose.orientation goal.target_pose.pose.orientation.z = 0 //map坐标系下的Z轴 ROS_INFO("Sending goal"); move_base.sendGoal(goal); } move_base.waitForResult(); if (move_base.getState() == actionlib::SimpleClientGoalState::SUCCEEDED) { ROS_INFO("Goal succeeded!"); return true; } else { ROS_INFO("Goal failed"); return false; } }

这段代码是一个移动机器人到目标点的函数。具体来说，它等待连接到move_base服务器，然后设置目标点的位置和姿态，发送目标点并等待机器人到达目标点。如果机器人成功到达目标点，返回true；否则，返回false。

其中，move_base是一个ROS的action，用于控制机器人移动到目标点。move_base.waitForServer()会等待连接到move_base服务器，如果5秒内没有连接成功，则会输出“Waiting for move_base action server...”，表示等待中。ROS_INFO()用于输出一些ROS相关的信息。target_odom_point是一个表示目标点位置和姿态的变量。tf库是ROS中的一个库，用于坐标系的转换和变换。其中，getRPY()函数将四元数转换成欧拉角（roll、pitch和yaw）。如果yaw大于3.14，就需要旋转到相反的方向，然后计算新的目标点位置和姿态。ROS中有很多库和工具可以用于机器人的控制和导航，需要根据具体的需求选择合适的库和工具。

相关问题

bool MoveObject::goObject() { //connet to the Server, 5s limit while (!move_base.waitForServer(ros::Duration(5.0))) { ROS_INFO("Waiting for move_base action server..."); } ROS_INFO("Connected to move base server"); /t the targetpose move_base_msgs::MoveBaseGoal goal; goal.target_pose.header.frame_id = "map"; goal.target_pose.header.stamp = ros::Time::now(); // goal.target_pose.pose.position.x = Obj_pose.pose.position.x; // goal.target_pose.pose.position.y = Obj_pose.pose.position.y; // target_odom_point.pose.pose.position.x=goal.target_pose.pose.position.x // target_odom_point.pose.pose.position.y=goal.target_pose.pose.position.y target_odom_point.pose.pose.position.x=Obj_pose.pose.position.x; target_odom_point.pose.pose.position.y=Obj_pose.pose.position.y; cout << goal.target_pose.pose.position.x << endl; cout << goal.target_pose.pose.position.y << endl; //goal.target_pose.pose.orientation = tf::createQuaternionMsgFromYaw(g.response.yaw); goal.target_pose.pose.orientation.z = 0.0; goal.target_pose.pose.orientation.w = 1.0; tf::quaternionMsgToTF(target_odom_point.pose.orientation, quat); tf::Matrix3x3(quat).getRPY(roll, pitch, yaw);//进行转换 yaw +=1.5708;//旋转90 target_odom_point.pose.position.x -=keep_distance*cos(yaw); target_odom_point.pose.position.y -=keep_distance*sin(yaw); goal.target_pose.pose.position.x=target_odom_point.pose.pose.position.x goal.target_pose.pose.position.y=target_odom_point.pose.pose.position.y target_odom_point.pose.orientation = tf::createQuaternionMsgFromYaw(yaw); ROS_INFO("Sending goal"); move_base.sendGoal(goal); move_base.waitForResult(); if (move_base.getState() == actionlib::SimpleClientGoalState::SUCCEEDED) { ROS_INFO("Goal succeeded!"); return true; } else { ROS_INFO("Goal failed"); return false; } }

这段代码是一个移动机器人到目标点的函数。首先会等待 move_base action server 的连接，如果在 5 秒内没有连接成功，则会输出 "Waiting for move_base action server..."。如果连接成功，则会输出 "Connected to move base server"。

接下来，设置目标点的坐标和姿态，这里的目标点是以地图为参考系的。然后通过计算机器人需要旋转的角度，将目标点向机器人前进方向偏移一定距离，即目标点距离机器人保持一定距离。最后通过 move_base.sendGoal(goal) 发送目标点，等待机器人到达目标点，如果成功到达则返回 true，否则返回 false。

读取#@brief: gerneral config parameters general: use_ros: true #@type: bool @detail: flag to control using ROS functions or not # if ture, you can send or receive messages through ROS (different messages need to be config in their own yaml file separatedly) use_proto: true #@type: bool @detail: flag to control using Proto functions or not # if ture, you can send or receive sensor: #@brief: config file for Imu message imu: include: ../sensor_config/other_sensors/rs_imu.yaml #@brief: config file for Gnss message gnss: include: ../sensor_config/other_sensors/rs_gnss.yaml #@brief: config file for Odom message odom: include: ../sensor_config/other_sensors/rs_odom.yaml #@brief: config file for Lidar message lidar: include: ../sensor_config/lidar/rs_lidar.yaml #@brief: config file for Lidar message camera: include: ../sensor_config/other_sensors/rs_camera.yaml #@brief: config file for Radar message radar: include: ../sensor_config/other_sensors/rs_radar.yaml

要读取上述YAML文件，可以使用适合的YAML解析库，例如YAML-CPP或YAMLCPP-Parser。以下是使用YAML-CPP的示例代码：

#include <iostream>
#include <yaml-cpp/yaml.h>

void readConfig(const YAML::Node& config) {
    if (config["general"]) {
        // 读取general字段的值
        YAML::Node general = config["general"];
        if (general["use_ros"]) {
            bool useRos = general["use_ros"].as<bool>();
            std::cout << "use_ros: " << std::boolalpha << useRos << std::endl;
        }
        if (general["use_proto"]) {
            bool useProto = general["use_proto"].as<bool>();
            std::cout << "use_proto: " << std::boolalpha << useProto << std::endl;
        }
    }

    if (config["sensor"]) {
        // 读取sensor字段的值
        YAML::Node sensor = config["sensor"];
        if (sensor["imu"]) {
            std::string imuInclude = sensor["imu"]["include"].as<std::string>();
            std::cout << "imu include: " << imuInclude << std::endl;
        }
        if (sensor["gnss"]) {
            std::string gnssInclude = sensor["gnss"]["include"].as<std::string>();
            std::cout << "gnss include: " << gnssInclude << std::endl;
        }
        if (sensor["odom"]) {
            std::string odomInclude = sensor["odom"]["include"].as<std::string>();
            std::cout << "odom include: " << odomInclude << std::endl;
        }
        if (sensor["lidar"]) {
            std::string lidarInclude = sensor["lidar"]["include"].as<std::string>();
            std::cout << "lidar include: " << lidarInclude << std::endl;
        }
        if (sensor["camera"]) {
            std::string cameraInclude = sensor["camera"]["include"].as<std::string>();
            std::cout << "camera include: " << cameraInclude << std::endl;
        }
        if (sensor["radar"]) {
            std::string radarInclude = sensor["radar"]["include"].as<std::string>();
            std::cout << "radar include: " << radarInclude << std::endl;
        }
    }
}

int main() {
    // 加载YAML文件
    YAML::Node config = YAML::LoadFile("config.yaml");

    // 读取配置
    readConfig(config);

    return 0;
}

请确保将上述示例代码与YAML-CPP库一起编译、链接并运行。从YAML文件中读取的值将打印到控制台上。