forked from Telos4/RoboRally
rewrote position controller script. now animated plot works for keyboard control and pid control
This commit is contained in:
parent
9595a68494
commit
480e1f523c
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@ -1,14 +1,14 @@
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# startup:
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# roscore
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# rosparam set cv_camera/device_id 0
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# rosrun cv_camera cv_camera_node
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# roscore -> start ros
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# rosparam set cv_camera/device_id 0 -> set appropriate camera device
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# rosrun cv_camera cv_camera_node -> start the camera
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# roslaunch aruco_detect aruco_detect.launch camera:=cv_camera image:=image_raw dictionary:=16 transport:= fiducial_len:=0.1 # aruco marker detection
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# python fiducial_to_2d_pos_angle.py -> compute position and angle of markers in 2d plane
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import sys
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import rospy
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import pygame
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import numpy as np
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import cv2
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import cv2.aruco as aruco
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import socket
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import scipy.integrate
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@ -20,59 +20,7 @@ import matplotlib.animation as anim
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import time
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from sensor_msgs.msg import Image
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from sensor_msgs.msg import CompressedImage
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from cv_bridge import CvBridge, CvBridgeError
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import math
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pygame.init()
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pygame.font.init()
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#pygame.joystick.init()
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myfont = pygame.font.SysFont('Comic Sans MS', 30)
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pygame.display.set_caption("ROS camera stream on Pygame")
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screenheight = 1024
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screenwidth = 1280 #4*screenheight//3
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screen = pygame.display.set_mode([screenwidth, screenheight])
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red = (255, 0, 0)
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teal = (0, 255, 255)
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# ros setup
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camera_stream = "/cv_camera/image_raw"
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#camera_stream = "/image_raw"
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compression = False
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# taken from https://www.learnopencv.com/rotation-matrix-to-euler-angles/
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# Checks if a matrix is a valid rotation matrix.
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def isRotationMatrix(R):
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Rt = np.transpose(R)
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shouldBeIdentity = np.dot(Rt, R)
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I = np.identity(3, dtype=R.dtype)
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n = np.linalg.norm(I - shouldBeIdentity)
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return n < 1e-6
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# Calculates rotation matrix to euler angles
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# The result is the same as MATLAB except the order
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# of the euler angles ( x and z are swapped ).
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def rotationMatrixToEulerAngles(R):
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assert (isRotationMatrix(R))
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sy = math.sqrt(R[0, 0] * R[0, 0] + R[1, 0] * R[1, 0])
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singular = sy < 1e-6
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if not singular:
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x = math.atan2(R[2, 1], R[2, 2])
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y = math.atan2(-R[2, 0], sy)
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z = math.atan2(R[1, 0], R[0, 0])
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else:
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x = math.atan2(-R[1, 2], R[1, 1])
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y = math.atan2(-R[2, 0], sy)
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z = 0
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return np.array([x, y, z])
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from marker_pos_angle.msg import id_pos_angle
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class Robot:
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def __init__(self, id, ip=None):
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@ -110,37 +58,40 @@ def f_ode(t, x, u):
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class RemoteController:
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def __init__(self):
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#self.cam = cv2.VideoCapture(1)
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#self.image_pub = rospy.Publisher("pygame_image", Image)
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self.robots = [Robot(3)]
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self.bridge = CvBridge()
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#self.cv_image = np.zeros((1, 1, 3), np.uint8)
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self.cv_image = None
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self.robots = [Robot(2), Robot(6), Robot(7), Robot(8), Robot(9)]
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self.robot_ids = [r.id for r in self.robots]
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screen.fill([0, 0, 0])
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cv_file = cv2.FileStorage("test.yaml", cv2.FILE_STORAGE_READ)
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self.camera_matrix = cv_file.getNode("camera_matrix").mat()
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self.dist_matrix = cv_file.getNode("dist_coeff").mat()
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self.aruco_dict = aruco.Dictionary_get(aruco.DICT_ARUCO_ORIGINAL)
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self.parameters = aruco.DetectorParameters_create()
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self.robot_ids = {}
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for r in self.robots:
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self.robot_ids[r.id] = r
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# connect to robot
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self.rc_socket = socket.socket()
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try:
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pass
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self.rc_socket.connect(('192.168.4.1', 1234)) # connect to robot
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self.rc_socket.connect(('192.168.1.101', 1234)) # connect to robot
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except socket.error:
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print("could not connect to socket")
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self.t = time.time()
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# variables for simulated state
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self.x0 = None
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self.ts = np.array([])
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self.xs = []
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# variables for measurements
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self.tms_0 = None
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self.xm_0 = None
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self.tms = None
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self.xms = None
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self.mutex = threading.Lock()
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marker_sub = rospy.Subscriber("/marker_id_pos_angle", id_pos_angle, self.measurement_callback)
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# pid parameters
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self.k = 0
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self.ii = 0.1
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self.pp = 0.4
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@ -155,51 +106,31 @@ class RemoteController:
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self.u1 = 0.0
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self.u2 = 0.0
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self.t = time.time()
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self.x0 = np.zeros(3)
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self.ts = np.array([0.0])
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self.xs = np.array([[0.0, 0.0, 0.0]])
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self.ys = []
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self.omegas = []
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self.tms_0 = None
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self.tms = None #np.array([0.0])
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self.xm_0 = None
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self.xms = None #np.array([[0.0, 0.0, 0.0]])
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self.alpha_0 = None
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self.alphas = []
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self.pos_0 = None
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self.possx = []
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self.possy = []
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if compression:
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self.image_sub = rospy.Subscriber(camera_stream + "/compressed", CompressedImage, self.callback)
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else:
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self.image_sub = rospy.Subscriber(camera_stream, Image, self.callback)
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# animation
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self.fig = plt.figure()
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self.ani = anim.FuncAnimation(self.fig, init_func=self.ani_init, func=self.ani_update, interval=10, blit=True)
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self.ax = self.fig.add_subplot(1,1,1)
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self.xdata, self.ydata = [], []
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self.line, = self.ax.plot([],[])
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self.line_sim, = self.ax.plot([], [])
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self.dir, = self.ax.plot([], [])
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self.dirm, = self.ax.plot([], [])
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self.dirs, = self.ax.plot([], [])
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plt.xlabel('x-position')
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plt.ylabel('y-position')
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def ani(self):
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self.ani = anim.FuncAnimation(self.fig, init_func=self.ani_init, func=self.ani_update, interval=10, blit=True)
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plt.ion()
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plt.show(block=True)
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def ani_init(self):
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self.ax.set_xlim(-2, 2)
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self.ax.set_ylim(-2, 2)
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self.ax.set_aspect('equal', adjustable='box')
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return self.line, self.line_sim, self.dir,
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return self.line, self.line_sim, self.dirm, self.dirs,
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def ani_update(self, frame):
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#print("plotting")
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self.mutex.acquire()
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try:
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# copy data for plot from global arrays
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@ -207,149 +138,98 @@ class RemoteController:
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tm_local = deepcopy(self.tms)
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xm_local = deepcopy(self.xms)
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#print(len(tm_local))
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if len(tm_local) > 0:
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# plot path of the robot
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self.line.set_data(xm_local[:,0], xm_local[:,1])
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# compute and plot direction the robot is facing
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a = xm_local[-1, 0]
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b = xm_local[-1, 0]
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b = xm_local[-1, 1]
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a2 = a + np.cos(xm_local[-1, 2]) * 1.0
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b2 = b + np.sin(xm_local[-1, 2]) * 1.0
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self.dir.set_data(np.array([a, a2]), np.array([b, b2]))
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self.dirm.set_data(np.array([a, a2]), np.array([b, b2]))
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ts_local = deepcopy(self.ts)
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xs_local = deepcopy(self.xs)
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if len(ts_local) > 0:
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# plot simulated path of the robot
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self.line_sim.set_data(xs_local[:,0], xs_local[:,1])
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# compute and plot direction the robot is facing
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a = xs_local[-1, 0]
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b = xs_local[-1, 1]
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a2 = a + np.cos(xs_local[-1, 2]) * 1.0
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b2 = b + np.sin(xs_local[-1, 2]) * 1.0
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self.dirs.set_data(np.array([a, a2]), np.array([b, b2]))
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finally:
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self.mutex.release()
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return self.line, self.line_sim, self.dir,
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return self.line, self.line_sim, self.dirm, self.dirs,
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def callback(self, data):
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def measurement_callback(self, data):
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#print("data = {}".format(data))
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if data.id in self.robot_ids:
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r = self.robot_ids[data.id]
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#self.cv_image_small = np.fliplr(self.cv_image_small) # why is this necessary?
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r.pos = (data.x, data.y) # only x and y component are important for us
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r.euler = data.angle
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# marker detection
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#gray = cv2.cvtColor(self.cv_image, cv2.COLOR_BGR2GRAY)
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#print("robot {} pos = {}".format(r.id, r.pos))
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#ret_val, self.cv_image = self.cam.read()
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try:
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if compression:
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self.cv_image = self.bridge.compressed_imgmsg_to_cv2(data)
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else:
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self.cv_image = self.bridge.imgmsg_to_cv2(data, "bgr8")
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except CvBridgeError as e:
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print(e)
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corners, ids, rejectedImgPoints = aruco.detectMarkers(self.cv_image, self.aruco_dict, parameters=self.parameters)
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marker_found = len(corners) > 0
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if marker_found:
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markers = zip(corners, ids)
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#print("found!")
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# filter markers with unknown ids
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#print("detected markers = {}".format(markers))
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markers_filtered = list(filter(lambda x: x[1] in self.robot_ids, markers))
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#print("filtered markers = {}".format(markers_filtered))
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if len(markers_filtered) > 0:
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filtered_corners, filtered_ids = zip(*markers_filtered)
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#print("filtered corners = {}".format(filtered_corners[0]))
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rvec, tvec, _ = aruco.estimatePoseSingleMarkers(filtered_corners, 0.1, self.camera_matrix,
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self.dist_matrix)
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aruco.drawDetectedMarkers(self.cv_image, filtered_corners)
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for i in range(len(filtered_corners)):
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aruco.drawAxis(self.cv_image, self.camera_matrix, self.dist_matrix, rvec[i], tvec[i],
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0.1)
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for r in self.robots:
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if r.id == filtered_ids[i]:
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r.pos = tvec[i][0] # only x and y component are important for us
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r.orient = rvec[i][0]
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r.rot_mat, r.jacobian = cv2.Rodrigues(r.orient)
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r.euler = rotationMatrixToEulerAngles(r.rot_mat)
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#print("r.pos = {}".format(r.pos))
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#print("r.angle = {}".format(r.euler))
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# save measured position and angle for plotting
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measurement = np.array([-r.pos[0], -r.pos[1], r.euler[2] + np.pi/4.0])
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if self.xm_0 is None:
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measurement = np.array([r.pos[0], r.pos[1], r.euler])
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if self.tms_0 is None:
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self.tms_0 = time.time()
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self.xm_0 = deepcopy(measurement)
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self.xm_0[2] = 0.0
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self.xm_0 = measurement
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self.tms = np.array([self.tms_0])
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self.xms = measurement - self.xm_0
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self.mutex.acquire()
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try:
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self.tms = np.array([0.0])
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self.xms = measurement
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finally:
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self.mutex.release()
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else:
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self.mutex.acquire()
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try:
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self.tms = np.vstack((self.tms, time.time() - self.tms_0))
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self.xms = np.vstack((self.xms, measurement - self.xm_0))
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if len(self.tms) == 50:
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self.alpha_0 = np.mean(self.xms[:,2])
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self.xms = np.vstack((self.xms, measurement))
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finally:
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self.mutex.release()
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def show_display(self):
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while self.alpha_0 is None:
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pass
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self.x0[2] = self.alpha_0
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print("alpha_0 = {}".format(self.alpha_0))
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print("show_display")
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def controller(self):
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print("starting control")
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while True:
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#self.capture()
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# show ros camera image on the pygame screen
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if self.cv_image is not None:
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image = cv2.resize(self.cv_image,(screenwidth,screenheight))
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frame = cv2.cvtColor(self.cv_image, cv2.COLOR_BGR2RGB)
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frame = np.rot90(frame)
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frame = pygame.surfarray.make_surface(frame)
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screen.blit(frame, (0, 0))
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# plot robot positions
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for r in self.robots:
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if r.euler is not None:
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#print("r.pos = {}".format(r.pos))
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#print("r.euler = {}".format(r.euler[2]))
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#print("drawing at {}".format(r.pos))
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#pygame.draw.circle(screen, (255, 0, 0), r.pos, 10)
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pass
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pygame.display.update()
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keyboard_control = True
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keyboard_control = False
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keyboard_control_speed_test = False
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pid = False
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pid = True
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if keyboard_control:
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if keyboard_control: # keyboard controller
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events = pygame.event.get()
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speed = 1.0
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speed = 0.5
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for event in events:
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if event.type == pygame.KEYDOWN:
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if event.key == pygame.K_LEFT:
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self.u1 = speed
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self.u2 = -speed
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self.u1 = -speed
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self.u2 = speed
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#print("turn left: ({},{})".format(u1, u2))
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elif event.key == pygame.K_RIGHT:
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self.u1 = -speed
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self.u2 = speed
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self.u1 = speed
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self.u2 = -speed
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#print("turn right: ({},{})".format(u1, u2))
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elif event.key == pygame.K_UP:
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self.u1 = -speed
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self.u2 = -speed
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print("forward: ({},{})".format(self.u1, self.u2))
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elif event.key == pygame.K_DOWN:
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self.u1 = speed
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self.u2 = speed
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#print("forward: ({},{})".format(self.u1, self.u2))
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elif event.key == pygame.K_DOWN:
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self.u1 = -speed
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self.u2 = -speed
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#print("forward: ({},{})".format(u1, u2))
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self.rc_socket.send('({},{})\n'.format(self.u1, self.u2))
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elif event.type == pygame.KEYUP:
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@ -363,6 +243,13 @@ class RemoteController:
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r = scipy.integrate.ode(f_ode)
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r.set_f_params(np.array([self.u1 * 13.32, self.u2 * 13.32]))
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#print(self.x0)
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if self.x0 is None:
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if self.xm_0 is not None:
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self.x0 = self.xm_0
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self.xs = self.x0
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else:
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print("error: no measurement available to initialize simulation")
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x = self.x0
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r.set_initial_value(x, self.t)
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xnew = r.integrate(r.t + dt)
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@ -372,30 +259,10 @@ class RemoteController:
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self.mutex.acquire()
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try:
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self.ts = np.vstack((self.ts, tnew))
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self.ts = np.append(self.ts, tnew)
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self.xs = np.vstack((self.xs, xnew))
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#self.ys.append(xnew[1])
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#self.omegas.append(xnew[2])
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finally:
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self.mutex.release()
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# for r in self.robots:
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# if r.euler is not None:
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# if self.alpha_0 is not None:
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# self.alphas.append(r.euler[2]-self.alpha_0)
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# else:
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# self.alpha_0 = r.euler[2]
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# self.alphas.append(0.0)
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# if r.pos is not None:
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# if self.pos_0 is not None:
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# self.possx.append(r.pos[0] - self.pos_0[0])
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# self.possy.append(r.pos[1] - self.pos_0[1])
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# else:
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# self.pos_0 = r.pos[0:2]
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# self.possx.append(0.0)
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||||
# self.possy.append(0.0)
|
||||
|
||||
#print("(t,x,u) = ({},{},{})".format(tnew,xnew,[self.u1, self.u2]))
|
||||
#time.sleep(0.1)
|
||||
|
||||
|
||||
elif keyboard_control_speed_test:
|
||||
|
|
@ -416,6 +283,8 @@ class RemoteController:
|
|||
self.rc_socket.send('({},{})\n'.format(u1, u2))
|
||||
|
||||
elif pid:
|
||||
# pid controller
|
||||
|
||||
events = pygame.event.get()
|
||||
for event in events:
|
||||
if event.type == pygame.KEYDOWN:
|
||||
|
|
@ -431,57 +300,35 @@ class RemoteController:
|
|||
self.controlling = False
|
||||
self.rc_socket.send('({},{})\n'.format(0, 0))
|
||||
|
||||
dt = 0.1
|
||||
dt = 0.05
|
||||
|
||||
#i = 0.0 # 0.001
|
||||
if self.controlling:
|
||||
# test: turn robot such that angle is zero
|
||||
for r in self.robots:
|
||||
if r.euler is not None:
|
||||
self.k = self.k + 1
|
||||
|
||||
alpha = r.euler[2]
|
||||
alpha = r.euler
|
||||
self.alphas.append(alpha)
|
||||
|
||||
# compute error
|
||||
e = alpha - 0
|
||||
p = self.pp * e
|
||||
|
||||
# compute integral of error (approximately)
|
||||
self.inc += e * dt
|
||||
|
||||
# PID
|
||||
p = self.pp * e
|
||||
i = self.ii * self.inc
|
||||
d = 0.0
|
||||
|
||||
u1 = p + self.ii * self.inc + d
|
||||
u2 = - p - self.ii * self.inc - d
|
||||
# compute controls for robot from PID
|
||||
u1 = p + i + d
|
||||
u2 = - p - i - d
|
||||
print("alpha = {}, u = ({}, {})".format(alpha, u1, u2))
|
||||
self.rc_socket.send('({},{})\n'.format(u1, u2))
|
||||
|
||||
time.sleep(dt)
|
||||
# elif self.k == kmax:
|
||||
# u1 = u2 = 0.0
|
||||
# self.rc_socket.send('({},{})\n'.format(u1, u2))
|
||||
# self.k = self.k + 1
|
||||
#
|
||||
# plt.plot(np.array(self.alphas))
|
||||
# plt.show()
|
||||
pass
|
||||
|
||||
def calibration_sequence(self):
|
||||
speed = 1.0
|
||||
u1 = speed
|
||||
u2 = speed
|
||||
self.rc_socket.send('({},{})\n'.format(u1, u2))
|
||||
time.sleep(4.0)
|
||||
u1 = u2 = 0
|
||||
self.rc_socket.send('({},{})\n'.format(u1, u2))
|
||||
self.rc_socket.send('\n')
|
||||
|
||||
# test:
|
||||
# -> 1.6 m in 4 seconds
|
||||
# angular velocity: angle/second
|
||||
# 1.6 / (2 * pi * 0.03)
|
||||
# l = 1.6
|
||||
# r = 0.03
|
||||
# t = 4.0
|
||||
# -> number of rotations n = l / (2 * pi * r)
|
||||
# -> angular velocity = 2 * pi * n / t = l / (r * t)
|
||||
# result: maximum angular velocity: omega_max = 13.32 rad/sec
|
||||
|
||||
|
||||
def main(args):
|
||||
rospy.init_node('controller_node', anonymous=True)
|
||||
|
|
@ -489,25 +336,14 @@ def main(args):
|
|||
rc = RemoteController()
|
||||
|
||||
pygame.init()
|
||||
pygame.display.set_mode((640, 480))
|
||||
|
||||
#p = multiprocessing.Process(target=rc.show_display)
|
||||
threading.Thread(target=rc.show_display).start()
|
||||
#p.start()
|
||||
plt.ion()
|
||||
plt.pause(0.01)
|
||||
#p.join()
|
||||
pass
|
||||
screenheight = 480
|
||||
screenwidth = 640
|
||||
screen = pygame.display.set_mode([screenwidth, screenheight])
|
||||
|
||||
#rc.show_display()
|
||||
#rc.calibration_sequence()
|
||||
#game.loop()
|
||||
threading.Thread(target=rc.controller).start()
|
||||
|
||||
# try:
|
||||
# rospy.spin()
|
||||
# except KeyboardInterrupt:
|
||||
# print("Shutting down")
|
||||
# cv2.destroyAllWindows()
|
||||
rc.ani()
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user