8자 주행하는 모델을 rviz를 통해 시각화 하기
8_drive.py -> converter.py -> odom.py 순서로 메시지를 전달하고 처리한다.
$ catkin_create_pkg my_motor rospy
$ mkdir ~/xycar_ws/src/my_motor/launch
$ gedit 8_drive.launch
$ cd ./src/
$ gedit 8_drive.py
<!--- ~/xycar_ws/src/my_motor/launch/8_drive.launch-->
<launch>
<!---motor node-->
<include file = "$(find xycar_motor)/launch/xycar_motor.launch"/>
<!---auto driver -->
<node name="auto_driver" pkg="my_motor" type="8_drive.py" output="screen">
</launch>
#!/usr/bin/env python
import rospy
import time
from xycar_motor.msg import xycar_motor
motor_control = xycar_motor()
rospy.init_node("auto_driver")
pub = rospy.Publisher('xycar_motor', xycar_motor, queue_size = 1)
def motor(angle, speed):
global pub
global motor_control
motor_control.angle = angle
motor_control.speed = speed
pub.publish(motor_control)
speed = 3 # 구동속도 3으로 설정
while not rospy.is_shutdown():
angle = -50 # 좌회전, 조향각 최대(핸들 최대한 왼쪽)
for _ in range(60):
motor(angle, speed)
time.sleep(0.1)
angle = 0 # 직진(핸들 중앙)
for _ in range(30):
motor(angle, speed)
time.sleep(0.1)
angle = 50 # 우회전, 조향각 최대(핸들 최대한 오른쪽)
for _ in range(60):
motor(angle, speed)
time.sleep(0.1)
angle = 0 # 직진(핸들 중앙)
for _ in range(30):
motor(angle, speed)
time.sleep(0.1)
#! /usr/bin/env python
#converter.py
import rospy
from xycar_motor.msg import xycar_motor
from sensor_msgs.msg import JointState
from std_msgs.msg import Header
import math
global pub
global msg_joint_states
global l_wheel, r_wheel
def callback(data):
global msg_joint_states, l_wheel, r_wheel, pub
Angle = data.angle
msg_joint_states.header.stamp = rospy.Time.now()
steering = math.radians(Angle * 0.4) # 20 / 50 = 0.4
if l_wheel > 3.14:
l_wheel = -3.14
r_wheel = -3.14
else:
l_wheel += 0.01
r_wheel += 0.01
msg_joint_states.position = [steering, steering, r_wheel, l_wheel, r_wheel, l_wheel]
pub.publish(msg_joint_states)
rospy.init_node('converter')
pub = rospy.Publisher('joint_states', JointState)
msg_joint_states = JointState()
msg_joint_states.header = Header()
msg_joint_states.name = ['front_right_hinge_joint', 'front_left_hinge_joint', 'front_right_wheel_joint', 'front_left_wheel_joint', 'rear_right_wheel_joint', 'rear_left_wheel_joint']
msg_joint_states.velocity = []
msg_joint_states.effort = []
l_wheel, r_wheel = -3.14, -3.14
rospy.Subscriber("xycar_motor", xycar_motor, callback)
rospy.spin()
<!--rviz_drive.launch-->
<launch>
<param name="robot_description" textfile="$(find rviz_xycar)/urdf/xycar_3d.urdf"/>
<param name="use_gui" value="true"/>
<!-- rviz display -->
<node name="rviz_visualizer" pkg="rviz" type="rviz" required="true"
args="-d $(find rviz_xycar)/rviz/rviz_drive.rviz"/>
<node name="robot_state_publisher" pkg="robot_state_publisher"
type="state_publisher"/>
<node name="driver" pkg="rviz_xycar" type="rviz_8_drive.py" />
<node name="converter" pkg="rviz_xycar" type="converter.py" />
</launch>
#! /usr/bin/env python
import math
from math import sin, cos, pi
import rospy
import tf
from nav_msgs.msg import Odometry
from geometry_msgs.msg import Point, Pose, Quaternion, Twist, Vector3
from sensor_msgs.msg import JointState
global Angle
def callback(msg):
global Angle
Angle = msg.position[msg.name.index("front_left_hinge_joint")]
rospy.Subscriber('joint_states', JointState, callback)
rospy.init_node('odometry_publisher')
odom_pub = rospy.Publisher("odom", Odometry, queue_size = 50)
odom_broadcaster = tf.TransformBroadcaster()
current_time = rospy.Time.now()
last_time = rospy.Time.now()
r = rospy.Rate(30.0)
current_speed = 0.4
wheel_base = 0.2
x_ = 0
y_ = 0
yaw_ = 0
Angle = 0
while not rospy.is_shutdown():
current_time = rospy.Time.now()
dt = (current_time - last_time).to_sec()
current_steering_angle = Angle
current_angular_velocity = current_speed * math.tan(current_steering_angle) / wheel_base
x_dot = current_speed * cos(yaw_)
y_dot = current_speed * sin(yaw_)
x_ += x_dot * dt
y_ += y_dot * dt
yaw_ += current_angular_velocity * dt
odom_quat = tf.transformations.quaternion_from_euler(0, 0, yaw_)
odom_broadcaster.sendTransform(
(x_, y_, 0.),
odom_quat,
current_time,
"base_link",
"odom"
)
odom = Odometry()
odom.header.stamp = current_time
odom.header.frame_id = "odom"
odom.pose.pose = Pose(Point(x_, y_, 0.), Quaternion(*odom_quat))
odom.child_frame_id = "base_link"
odom_pub.publish(odom)
last_time = current_time
r.sleep()
<launch>
<param name="robot_description" textfile="$(find rviz_xycar)/urdf/xycar_3d.urdf"/>
<param name="use_gui" value="true"/>
<!-- rviz display -->
<node name="rviz_visualizer" pkg="rviz" type="rviz" required="true"
args="-d $(find rviz_xycar)/rviz/rviz_drive.rviz"/>
<node name="robot_state_publisher" pkg="robot_state_publisher"
type="state_publisher"/>
<node name="driver" pkg="rviz_xycar" type="rviz_8_drive.py" />
<node name="converter" pkg="rviz_xycar" type="converter.py" />
<node name="odom" pkg="rviz_xycar" type="rviz_odom.py" />
</launch>
안녕하세요 포스팅 잘 봤습니다. 감사합니다.
이번 포스팅에서는 쿼터니언 값을 엔코더를 통해 계산한 yaw을 통해 계산하고 다음 포스팅인 imu에서는 해당 센서 값을 바로 쿼터니언에 적용하는 것이 맞을까요? 감사합니다.