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mission_swarm.py
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mission_swarm.py
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#!/usr/bin/env python3
# Copyright 2024 Universidad Politécnica de Madrid
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# * Neither the name of the Universidad Politécnica de Madrid nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
"""Simple mission for a swarm of drones."""
__authors__ = 'Rafael Perez-Segui, Miguel Fernandez-Cortizas'
__copyright__ = 'Copyright (c) 2024 Universidad Politécnica de Madrid'
__license__ = 'BSD-3-Clause'
import argparse
import sys
from typing import List, Optional
from math import radians, cos, sin
from itertools import cycle, islice
import rclpy
from as2_msgs.msg import YawMode
from as2_msgs.msg import BehaviorStatus
from as2_python_api.drone_interface import DroneInterface
from as2_python_api.behavior_actions.behavior_handler import BehaviorHandler
class Choreographer:
"""Simple Geometric Choreographer"""
@staticmethod
def delta_formation(base: float, height: float, orientation: float = 0.0, center: list = [0.0, 0.0]):
"""Triangle"""
theta = radians(orientation)
v0 = [-height * cos(theta) / 2.0 - base * sin(theta) / 2.0 + center[0],
base * cos(theta) / 2.0 - height * sin(theta) / 2.0 + center[1]]
v1 = [height * cos(theta) / 2.0 + center[0], height * sin(theta) / 2.0 + center[1]]
v2 = [-height * cos(theta) / 2.0 + base * sin(theta) / 2.0 + center[0],
-base * cos(theta) / 2.0 - height * sin(theta) / 2.0 + center[1]]
return [v0, v1, v2]
@staticmethod
def line_formation(length: float, orientation: float = 0.0, center: list = [0.0, 0.0]):
"""Line"""
theta = radians(orientation)
l0 = [length * cos(theta) / 2.0 + center[1], length * sin(theta) / 2.0 + center[1]]
l1 = [0.0 + center[1], 0.0 + center[1]]
l2 = [-length * cos(theta) / 2.0 + center[1], -length * sin(theta) / 2.0 + center[1]]
return [l0, l1, l2]
@staticmethod
def draw_waypoints(waypoints):
"""Debug"""
import matplotlib.pyplot as plt
print(waypoints)
xaxys = []
yaxys = []
for wp in waypoints:
xaxys.append(wp[0])
yaxys.append(wp[1])
plt.plot(xaxys, yaxys, 'o-b')
plt.xlim(-3, 3)
plt.ylim(-3, 3)
plt.ylabel('some numbers')
plt.show()
@staticmethod
def do_cycle(formation: list, index: int, height: int):
"""List to cycle with height"""
return list(e + [height]
for e in list(islice(cycle(formation), 0+index, 3+index)))
class Dancer(DroneInterface):
"""Drone Interface extended with path to perform and async behavior wait"""
def __init__(self, namespace: str, path: list, verbose: bool = False,
use_sim_time: bool = False):
super().__init__(namespace, verbose=verbose, use_sim_time=use_sim_time)
self.__path = path
self.__current = 0
self.__speed = 0.5
self.__yaw_mode = YawMode.PATH_FACING
self.__yaw_angle = None
self.__frame_id = "earth"
self.current_behavior: Optional[BehaviorHandler] = None
def reset(self) -> None:
"""Set current waypoint in path to start point"""
self.__current = 0
def do_behavior(self, beh, *args) -> None:
"""Start behavior and save current to check if finished or not"""
self.current_behavior = getattr(self, beh)
self.current_behavior(*args)
def go_to_next(self) -> None:
"""Got to next position in path"""
point = self.__path[self.__current]
self.do_behavior("go_to", point[0], point[1], point[2], self.__speed,
self.__yaw_mode, self.__yaw_angle, self.__frame_id, False)
self.__current += 1
def goal_reached(self) -> bool:
"""Check if current behavior has finished"""
if not self.current_behavior:
return False
if self.current_behavior.status == BehaviorStatus.IDLE:
return True
return False
class SwarmConductor:
"""Swarm Conductor"""
def __init__(self, drones_ns: List[str], verbose: bool = False,
use_sim_time: bool = False):
self.drones: dict[int, Dancer] = {}
for index, name in enumerate(drones_ns):
path = get_path(index)
self.drones[index] = Dancer(name, path, verbose, use_sim_time)
def shutdown(self):
"""Shutdown all drones in swarm"""
for drone in self.drones.values():
drone.shutdown()
def reset_point(self):
"""Reset path for all drones in swarm"""
for drone in self.drones.values():
drone.reset()
def wait(self):
"""Wait until all drones has reached their goal (aka finished its behavior)"""
all_finished = False
while not all_finished:
all_finished = True
for drone in self.drones.values():
all_finished = all_finished and drone.goal_reached()
def get_ready(self) -> bool:
"""Arm and offboard for all drones in swarm"""
success = True
for drone in self.drones.values():
# Arm
success_arm = drone.arm()
# Offboard
success_offboard = drone.offboard()
success = success and success_arm and success_offboard
return success
def takeoff(self):
"""Takeoff swarm and wait for all drones"""
for drone in self.drones.values():
drone.do_behavior("takeoff", 1, 0.7, False)
self.wait()
def land(self):
"""Land swarm and wait for all drones"""
for drone in self.drones.values():
drone.do_behavior("land", 0.4, False)
self.wait()
def dance(self):
"""Perform swarm choreography"""
self.reset_point()
for _ in range(len(get_path(0))):
for drone in self.drones.values():
drone.go_to_next()
self.wait()
def get_path(i: int) -> list:
"""Path: initial, steps, final
1 1 6 7 0
2 2 5 8 1
0 3 4 9 2
"""
center = [0.0, 0.0]
delta_frontward = Choreographer.delta_formation(3, 3, 0, center)
delta_backward = Choreographer.delta_formation(3, 3, 180, center)
line = Choreographer.line_formation(3, 180, center)
h1 = 1.0
h2 = 2.0
h3 = 3.0
line_formation = [line[i] + [h3]]
return Choreographer.do_cycle(delta_frontward, i, h1) + \
Choreographer.do_cycle(delta_backward, i, h2) + \
Choreographer.do_cycle(delta_frontward, i, h3) + \
line_formation
def confirm(msg: str = 'Continue') -> bool:
"""Confirm message"""
confirmation = input(f"{msg}? (y/n): ")
if confirmation == "y":
return True
return False
def main():
parser = argparse.ArgumentParser(
description='Single drone mission')
parser.add_argument('-n', '--namespaces',
type=list,
default=['drone0', 'drone1', 'drone2'],
help='ID of the drone to be used in the mission')
parser.add_argument('-v', '--verbose',
action='store_true',
default=False,
help='Enable verbose output')
parser.add_argument('-s', '--use_sim_time',
action='store_true',
default=False,
help='Use simulation time')
args = parser.parse_args()
drones_namespace = args.namespaces
verbosity = args.verbose
use_sim_time = args.use_sim_time
rclpy.init()
swarm = SwarmConductor(
drones_namespace,
verbose=verbosity,
use_sim_time=use_sim_time)
if confirm("Takeoff"):
swarm.get_ready()
swarm.takeoff()
if confirm("Go to"):
swarm.dance()
while confirm("Replay"):
swarm.dance()
confirm("Land")
swarm.land()
print("Shutdown")
swarm.shutdown()
rclpy.shutdown()
sys.exit(0)
if __name__ == '__main__':
main()