基于 ROS 系统的智能清洁车自主路径规划与避障控制的代码
时间: 2024-03-01 13:50:39 浏览: 21
以下是一个基于ROS系统的智能清洁车自主路径规划与避障控制的代码示例,具体实现可能因应用场景不同而有所差异:
```
#include <ros/ros.h>
#include <sensor_msgs/LaserScan.h>
#include <geometry_msgs/Twist.h>
class Robot
{
public:
Robot(){
sub = n.subscribe("/scan", 1, &Robot::callback, this);
pub = n.advertise<geometry_msgs::Twist>("/cmd_vel", 1);
linear_vel = 0.2;
angular_vel = 1.0;
}
void callback(const sensor_msgs::LaserScan::ConstPtr& msg){
float min_angle = msg->angle_min;
float max_angle = msg->angle_max;
float angle_increment = msg->angle_increment;
float range_min = msg->range_min;
float range_max = msg->range_max;
std::vector<float> ranges = msg->ranges;
float front_obstacle_distance = std::numeric_limits<float>::infinity();
float front_obstacle_angle = 0.0;
for(int i=0; i<ranges.size(); i++){
float angle = min_angle + i*angle_increment;
float range = ranges[i];
if(range < range_max && range > range_min){
if(angle <= 0.1745 && angle >= -0.1745){ // front
if(range < front_obstacle_distance){
front_obstacle_distance = range;
front_obstacle_angle = angle;
}
}
}
}
geometry_msgs::Twist msg_twist;
if(front_obstacle_distance < 1.0){
msg_twist.linear.x = 0.0;
msg_twist.angular.z = angular_vel;
}
else if(front_obstacle_distance < 2.0){
msg_twist.linear.x = 0.5*linear_vel;
msg_twist.angular.z = 0.5*angular_vel*front_obstacle_angle;
}
else{
msg_twist.linear.x = linear_vel;
msg_twist.angular.z = 0.0;
}
pub.publish(msg_twist);
}
private:
ros::NodeHandle n;
ros::Subscriber sub;
ros::Publisher pub;
float linear_vel, angular_vel;
};
int main(int argc, char** argv){
ros::init(argc, argv, "robot");
Robot robot;
ros::spin();
return 0;
}
```
上述代码中,Robot类订阅了激光雷达的数据,并根据激光雷达数据计算出前方障碍物距离和角度。根据前方障碍物的距离和角度,决定机器人的运动方向(前进、左转、右转),并通过发布Twist消息控制机器人运动。