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turtlebot3_explorer.py
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# Copyright 2022 Luiz Carlos Cosmi Filho and others.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import random
from enum import Enum
from typing import List
import numpy as np
from rclpy.node import Node
from rclpy.parameter import Parameter
from std_srvs.srv import SetBool
from geometry_msgs.msg import Twist
from sensor_msgs.msg import LaserScan
from rcl_interfaces.msg import ParameterDescriptor, SetParametersResult
from tf2_ros.buffer import Buffer
from tf2_ros import LookupException, TransformException
from tf2_ros.transform_listener import TransformListener
from turtlebot3_mapper.utils import (
euler_from_quaternion,
laser_scan_to_polar,
)
class State(Enum):
FORWARD = 1
ROTATE = 2
STOP = 3
UNKOWN = 4
class Turtlebot3Explorer(Node):
def parameter_callback(self, parameters: List[Parameter]) -> SetParametersResult:
for param in parameters:
if param.name == "view_angle":
self.view_angle = param.value
self.get_logger().info("Updated parameter view_angle=%.2f" % self.view_angle)
elif param.name == "min_rand":
self.min_rand = param.value
self.get_logger().info("Updated parameter min_rand=%.2f" % self.min_rand)
elif param.name == "max_rand":
self.max_rand = param.value
self.get_logger().info("Updated parameter max_rand=%.2f" % self.max_rand)
elif param.name == "safety_distance":
self.safety_distance = param.value
self.get_logger().info("Updated parameter safety_distance=%.2f" %
self.safety_distance)
elif param.name == "linear_speed":
self.linear_speed = param.value
self.get_logger().info("Updated parameter linear_speed=%.2f" % self.linear_speed)
elif param.name == "angular_speed":
self.angular_speed = param.value
self.get_logger().info("Updated parameter angular_speed=%.2f" % self.angular_speed)
else:
return SetParametersResult(successful=False)
return SetParametersResult(successful=True)
def __init__(self, node_name: str = 'turtlebot_explorer'):
super(Turtlebot3Explorer, self).__init__(node_name=node_name)
self.declare_parameters(
namespace="",
parameters=[
(
"view_angle",
30.0,
ParameterDescriptor(description="View angle"),
),
(
"min_rand",
1,
ParameterDescriptor(description="Min range random limit"),
),
(
"max_rand",
10,
ParameterDescriptor(description="Max range random limit"),
),
(
"safety_distance",
0.5,
ParameterDescriptor(description="Safety distance"),
),
(
"linear_speed",
0.15,
ParameterDescriptor(description="Linear speed"),
),
(
"angular_speed",
0.15,
ParameterDescriptor(description="Angular speed"),
),
(
"update_rate",
0.5,
ParameterDescriptor(description="Update rate"),
),
],
)
self.view_angle = float(self.get_parameter("view_angle").value)
self.min_rand = float(self.get_parameter("min_rand").value)
self.max_rand = float(self.get_parameter("max_rand").value)
self.safety_distance = float(self.get_parameter("safety_distance").value)
self.linear_speed = float(self.get_parameter("linear_speed").value)
self.angular_speed = float(self.get_parameter("angular_speed").value)
self.add_on_set_parameters_callback(self.parameter_callback)
self._subscriber_scan = self.create_subscription(
msg_type=LaserScan,
topic="/scan",
callback=self._scan_callback,
qos_profile=10,
)
self._publisher = self.create_publisher(
msg_type=Twist,
topic="/cmd_vel",
qos_profile=10,
)
self.update_timer = self.create_timer(
timer_period_sec=(1 / self.get_parameter("update_rate").value),
callback=self._update_callback,
)
self.srv = self.create_service(
SetBool,
'enable',
self._enable_callback,
)
self._scan_init = False
self.count = 0
self.multiplier = 1.0
self.limit = random.randint(self.min_rand, self.max_rand)
self.state = State.UNKOWN
self.enable = False
self._tf_buffer = Buffer()
self._tf_listener = TransformListener(self._tf_buffer, self)
self.get_logger().info("Init {}".format(node_name))
def _enable_callback(self, request, response):
self.enable = request.data
response.success = True
response.message = "Configured"
return response
def _scan_callback(self, message: LaserScan):
self._scan = message
self._scan_init = True
def _update_callback(self):
if self._scan_init:
self.get_logger().info("updating...")
self.detect_obstacle()
def set_robot(self, state: State):
twist = Twist()
twist.linear.y = 0.0
twist.linear.z = 0.0
twist.angular.x = 0.0
twist.angular.y = 0.0
if state == State.STOP:
twist.linear.x = 0.0
twist.angular.z = 0.0
self._publisher.publish(twist)
elif state == State.FORWARD:
twist.linear.x = self.linear_speed
twist.angular.z = 0.0
self._publisher.publish(twist)
elif state == State.ROTATE:
twist.linear.x = 0.0
twist.angular.z = self.angular_speed * self.multiplier
self.count += 1
if self.count >= self.limit:
self.limit = random.randint(self.min_rand, self.max_rand)
self.count = 0
self.multiplier *= -1.0
self._publisher.publish(twist)
def detect_obstacle(self):
scan = self._scan
try:
trans = self._tf_buffer.lookup_transform(scan.header.frame_id, "base_link",
scan.header.stamp)
except (TransformException, LookupException) as ex:
self.get_logger().warn(f'Could not transform "odom" to {scan.header.frame_id}: {ex}')
return
_, _, theta = euler_from_quaternion(trans.transform.rotation)
min_angle = (-self.view_angle + theta) * (np.pi / 180) + (2 * np.pi)
max_angle = (self.view_angle + theta) * (np.pi / 180)
polar = laser_scan_to_polar(message=scan)
mask = (polar[:, 1] >= (min_angle)) | (polar[:, 1] <= max_angle)
distance_range = polar[mask, :]
obstacle_distance = np.min(distance_range[:, 0])
self.get_logger().info("Closest obstacle={}".format(obstacle_distance))
if not self.enable:
if self.state != State.STOP:
self.state = State.STOP
self.set_robot(state=self.state)
else:
if self.state == State.UNKOWN or self.state == State.STOP:
if obstacle_distance < self.safety_distance:
self.state = State.ROTATE
self.set_robot(state=self.state)
else:
self.state = State.FORWARD
self.set_robot(state=self.state)
elif self.state == State.FORWARD:
if obstacle_distance < self.safety_distance:
self.state = State.ROTATE
self.set_robot(state=self.state)
else:
self.state = State.FORWARD
self.set_robot(state=self.state)
elif self.state == State.ROTATE:
if obstacle_distance > self.safety_distance:
self.state = State.FORWARD
self.set_robot(state=self.state)