class RoboExplorer:
def __init__(self):
rospy.init_node('robo_explorer')
-
- rospy.Subscriber("cmd_vel", Twist, self.cmdVelReceived)
- rospy.Subscriber("ft/get_inputs", Inputs, self.inputsReceived)
-
- self.pub_motor = rospy.Publisher("ft/set_motor", Motor)
- self.pub_scan = rospy.Publisher("scan", LaserScan)
- self.pub_odom = rospy.Publisher("odom", Odometry)
self.wheel_dist = 0.188 # 18.8cm
- self.wheel_size = 0.052*0.5 # 5.1cm gear ration=0.5
+ self.wheel_size = 0.052*0.5 # 5.2cm; gear ration=0.5
self.speed = (0, 0)
self.x = 0
self.y = 0
self.alpha = 0
- self.last_in = [0, 0]
+ self.last_in = None
self.tf_broadcaster = tf.TransformBroadcaster()
self.last_time = rospy.Time.now()
+ self.input_count = 0
+ self.x_last = 0
+ self.y_last = 0
+ self.alpha_last = 0
+
+ self.pub_motor = rospy.Publisher("ft/set_motor", Motor)
+ self.pub_scan = rospy.Publisher("scan", LaserScan)
+ self.pub_odom = rospy.Publisher("odom", Odometry)
+
+ rospy.Subscriber("cmd_vel", Twist, self.cmdVelReceived)
+ rospy.Subscriber("ft/get_inputs", Inputs, self.inputsReceived)
rospy.spin()
def inputsReceived(self, msg):
current_time = rospy.Time.now()
+ self.input_count+=1
- self.tf_broadcaster.sendTransform((0.0, 0.0, 0.0), (0.0, 0.0, 0.0, 1.0), current_time, "map", "base_link");
- self.send_odometry(msg, current_time)
- self.send_laser_scan(msg, current_time)
-
- self.last_time = current_time
+ self.update_odometry(msg, current_time)
+ if self.input_count >= 10:
+ self.input_count = 0
+ self.send_odometry(msg, current_time)
+ self.send_laser_scan(msg, current_time)
- def send_odometry(self, msg, current_time):
- dt = (current_time - self.last_time).to_sec();
+ def update_odometry(self, msg, current_time):
in_now = msg.input[1:3]
- in_diff = [abs(a - b) for a, b in zip(in_now, self.last_in)] # get changed inputs
- if self.speed[0] < 0:
- in_diff[0] = -in_diff[0]
- if self.speed[1] < 0:
- in_diff[1] = -in_diff[1]
-
- dist_dir = (in_diff[1] - in_diff[0])*self.wheel_size*pi/8 # steps_changed in different direction => m
- delta_alpha = dist_dir/self.wheel_dist
-
- dist = (in_diff[0] + in_diff[1])/2.0*self.wheel_size*pi/8 # steps_changed same direction => m
-
- delta_x = cos(self.alpha + delta_alpha/2)*dist
- delta_y = sin(self.alpha + delta_alpha/2)*dist
-
- self.alpha += delta_alpha
- if self.alpha > 2*pi:
- self.alpha -= 2*pi
- elif self.alpha < -2*pi:
- self.alpha += 2*pi
- self.x += delta_x
- self.y += delta_y
+ if self.last_in is not None:
+ in_diff = [abs(a - b) for a, b in zip(in_now, self.last_in)] # get changed inputs
+ # fix in_diff from actual motor direction
+ if self.speed[0] < 0:
+ in_diff[0] = -in_diff[0]
+ elif self.speed[0] == 0:
+ in_diff[0] = 0
+ if self.speed[1] < 0:
+ in_diff[1] = -in_diff[1]
+ elif self.speed[1] == 0:
+ in_diff[1] = 0
+
+ dist_dir = (in_diff[1] - in_diff[0])*self.wheel_size*pi/8 # steps_changed in different direction => m
+ delta_alpha = dist_dir/self.wheel_dist
+
+ dist = (in_diff[0] + in_diff[1])/2.0*self.wheel_size*pi/8 # steps_changed same direction => m
+
+ delta_x = cos(self.alpha + delta_alpha/2)*dist
+ delta_y = sin(self.alpha + delta_alpha/2)*dist
+
+ self.alpha += delta_alpha
+ if self.alpha > 2*pi:
+ self.alpha -= 2*pi
+ elif self.alpha < -2*pi:
+ self.alpha += 2*pi
+ self.x += delta_x
+ self.y += delta_y
+
self.last_in = in_now
+ def send_odometry(self, msg, current_time):
# speeds
- vx = delta_x / dt
- vy = delta_y / dt
- valpha = delta_alpha / dt
+ dt = (current_time - self.last_time).to_sec()
+ vx = (self.x - self.x_last) / dt
+ vy = (self.y - self.y_last) / dt
+ valpha = (self.alpha - self.alpha_last) / dt
+ self.last_time = current_time
+ self.x_last = self.x
+ self.y_last = self.y
+ self.alpha_last = self.alpha
+
+ # since all odometry is 6DOF we'll need a quaternion created from yaw
+ odom_quat = tf.transformations.quaternion_from_euler(0, 0, self.alpha)
# first, we'll publish the transform over tf
- self.tf_broadcaster.sendTransform((0.0, 0.0, 0.0), (0.0, 0.0, 0.0, 1.0), current_time, "odom", "base_link");
+ self.tf_broadcaster.sendTransform((self.x, self.y, 0.0), odom_quat, current_time, "base_link", "odom")
# next, we'll publish the odometry message over ROS
odom = Odometry()
odom.header.stamp = current_time
odom.header.frame_id = "/odom"
- # since all odometry is 6DOF we'll need a quaternion created from yaw
- odom_quat = tf.transformations.quaternion_from_euler(0, 0, self.alpha)
-
# set the position
odom.pose.pose.position.x = self.x
odom.pose.pose.position.y = self.y
odom.pose.pose.orientation.w = odom_quat[3]
# set the velocity
- odom.child_frame_id = "base_link";
+ odom.child_frame_id = "base_link"
odom.twist.twist.linear.x = vx
odom.twist.twist.linear.y = vy
odom.twist.twist.angular.z = valpha
def send_laser_scan(self, msg, current_time):
# first, we'll publish the transform over tf
- self.tf_broadcaster.sendTransform((0.06, 0.0, 0.0), (0.0, 0.0, 0.0, 1.0), current_time, "base_link", "scan");
+ self.tf_broadcaster.sendTransform((0.06, 0.0, 0.0), (0.0, 0.0, 0.0, 1.0), current_time, "scan", "base_link")
# actually ultra sonic range finder
+ num_points = 30
+ opening_angle = 30*pi/180 # each side
scan = LaserScan()
scan.header.stamp = current_time
scan.header.frame_id = "/scan"
- scan.angle_min = -pi/4;
- scan.angle_max = pi/4;
- scan.angle_increment = pi/4;
- scan.time_increment = 0.01;
- scan.range_min = 0.0;
- scan.range_max = 4.0;
- for i in range(3):
+ scan.angle_min = -opening_angle
+ scan.angle_max = opening_angle
+ scan.angle_increment = (2*opening_angle)/num_points
+ scan.time_increment = 0.1/num_points
+ scan.range_min = 0.0
+ scan.range_max = 4.0
+ for i in range(num_points):
scan.ranges.append(msg.d1/100.0)
- scan.intensities.append(0.5)
- scan.intensities.append(1.0)
- scan.intensities.append(0.5)
+ #scan.intensities.append(0.5)
+ #scan.intensities.append(1.0)
+ #scan.intensities.append(0.5)
self.pub_scan.publish(scan)
# test with rostopic pub -1 cmd_vel geometry_msgs/Twist '[0, 0, 0]' '[0, 0, 0]'
projects / ros_roboint.git / blobdiff