odom

本文介绍了一个使用ROS框架发布的机器人状态示例程序。该程序通过不断更新关节角度并发布到/joint_states主题,同时利用tf::TransformBroadcaster发送坐标变换。此示例展示了如何在ROS中实现简单的机器人状态发布。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

#include <string>
#include <ros/ros.h>
#include <sensor_msgs/JointState.h>
#include <tf/transform_broadcaster.h>

int main(int argc, char** argv) {
    ros::init(argc, argv, "state_publisher");
    ros::NodeHandle n;
    ros::Publisher joint_pub = n.advertise<sensor_msgs::JointState>("joint_states", 1);
    tf::TransformBroadcaster broadcaster;
    ros::Rate loop_rate(30);

    const double degree = M_PI/180;

    // robot state
    double inc= 0.005, base_arm_inc= 0.005, arm1_armbase_inc= 0.005, arm2_arm1_inc= 0.005, gripper_inc= 0.005, tip_inc= 0.005;
    double angle= 0 ,base_arm = 0, arm1_armbase = 0, arm2_arm1 = 0, gripper = 0, tip = 0;
    // message declarations
    geometry_msgs::TransformStamped odom_trans;
    sensor_msgs::JointState joint_state;
    odom_trans.header.frame_id = "odom";
    odom_trans.child_frame_id = "base_link";

    while (ros::ok()) {
        //update joint_state
        joint_state.header.stamp = ros::Time::now();
        joint_state.name.resize(11);
        joint_state.position.resize(11);
        joint_state.name[0] ="base_to_arm_base";
        joint_state.position[0] = base_arm;
        joint_state.name[1] ="arm_1_to_arm_base";
        joint_state.position[1] = arm1_armbase;
        joint_state.name[2] ="arm_2_to_arm_1";
        joint_state.position[2] = arm2_arm1;
    joint_state.name[3] ="left_gripper_joint";
        joint_state.position[3] = gripper;
    joint_state.name[4] ="left_tip_joint";
        joint_state.position[4] = tip;
    joint_state.name[5] ="right_gripper_joint";
        joint_state.position[5] = gripper;
    joint_state.name[6] ="right_tip_joint";
        joint_state.position[6] = tip;
    joint_state.name[7] ="base_to_wheel1";
        joint_state.position[7] = 0;
    joint_state.name[8] ="base_to_wheel2";
        joint_state.position[8] = 0;
    joint_state.name[9] ="base_to_wheel3";
        joint_state.position[9] = 0;
    joint_state.name[10] ="base_to_wheel4";
        joint_state.position[10] = 0;
        // update transform
        // (moving in a circle with radius)
        odom_trans.header.stamp = ros::Time::now();
        odom_trans.transform.translation.x = cos(angle);
        odom_trans.transform.translation.y = sin(angle);
        odom_trans.transform.translation.z = 0.0;
        odom_trans.transform.rotation = tf::createQuaternionMsgFromYaw(angle);
        //send the joint state and transform
        joint_pub.publish(joint_state);
        broadcaster.sendTransform(odom_trans);
// Create new robot state
        arm2_arm1 += arm2_arm1_inc;
        if (arm2_arm1<-1.5 || arm2_arm1>1.5) arm2_arm1_inc *= -1;
          arm1_armbase += arm1_armbase_inc;
        if (arm1_armbase>1.2 || arm1_armbase<-1.0) arm1_armbase_inc *= -1;
        base_arm += base_arm_inc;
        if (base_arm>1. || base_arm<-1.0) base_arm_inc *= -1;
        gripper += gripper_inc;
        if (gripper<0 || gripper>1) gripper_inc *= -1;
        
          angle += degree/4;
        // This will adjust as needed per iteration
        loop_rate.sleep();
    }
    return 0;
}

 

转载于:https://www.cnblogs.com/sunskyland/p/5133588.html

### ROS Odom Topic Usage and Examples In the Robot Operating System (ROS), the `odom` topic is crucial for providing odometry information, which includes position and velocity estimates of a robot relative to its starting point. This data helps robots understand their movement within an environment. #### Publishing Odometry Data To publish messages on the `/odom` topic using ROS1 or ROS2, one can use command-line tools like so: For ROS1: ```bash rostopic pub /odom nav_msgs/Odometry "{header: {stamp: now, frame_id: 'odom'}, child_frame_id: 'base_link', pose: {pose: {position: {x: 0.0, y: 0.0, z: 0.0}, orientation: {w: 1.0}}}}" ``` For ROS2: ```bash ros2 topic pub /odom nav_msgs/msg/Odometry "{header: {frame_id: 'odom'}, child_frame_id: 'base_link', pose: {pose: {position: {x: 0.0, y: 0.0, z: 0.0}, orientation: {w: 1.0}}}}" ``` These commands send out dummy odometry readings that could be used during testing phases[^1]. #### Subscribing to Odometry Data Subscribing allows nodes to receive updates from this critical stream whenever new positions are calculated by sensors such as wheel encoders or IMUs. A simple way to monitor what's being published involves employing `rostopic echo`. ```bash rostopic echo /odom ``` This will display incoming message contents directly into terminal output until interrupted manually[^2]. #### Recording Odometry Information with Rosbag Recording sessions involving navigation experiments often require capturing these streams alongside others for later analysis. Utilizing `rosbag`, users may specify multiple subjects including but not limited to just the odometry channel alone. ```bash rosbag record /odom ``` Or more selectively when only interested specifically in certain aspects related thereto, ```bash rosbag record /odom /tf ``` Such recordings facilitate post-processing tasks where developers might wish to visualize paths taken over time through space without needing real-time interaction again once collected successfully[^3].
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值