added accessability features (choosing ip, robot id at startup, changing max speed), remove obstacle code
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c2fad13698
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@ -30,8 +30,12 @@ from marker_pos_angle.msg import id_pos_angle
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from collections import OrderedDict
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from argparse import ArgumentParser
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class Robot:
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def __init__(self, id, ip=None):
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def __init__(self, id, ip):
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self.pos = None
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self.orient = None
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@ -122,20 +126,18 @@ def f_ode(t, x, u):
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return dx
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class RemoteController:
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def __init__(self):
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def __init__(self, id, ip):
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self.robots = [Robot(11, '192.168.1.103')]
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#self.robots = [Robot(14, '192.168.1.102')]
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self.anim_stopped = False
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#self.robots = [Robot(14, '192.168.1.103')]
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#self.robots = [Robot(15, '192.168.1.102')]
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self.robots = [Robot(id, ip)]
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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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obst = [Obstacle(12, 0.275), Obstacle(10, 0.275), Obstacle(14, 0.275), Obstacle(15, 0.275)]
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self.obstacles = {}
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for r in obst:
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self.obstacles[r.id] = r
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self.track = Track()
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@ -198,13 +200,6 @@ class RemoteController:
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self.track_line_inner, = self.ax.plot([], [])
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self.track_line_outer, = self.ax.plot([], [])
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self.circles = []
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for o in self.obstacles:
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self.circles.append(patch.Circle((0.0, 0.0), radius=0.1, fill=False, color='red', linestyle='--'))
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for s in self.circles:
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self.ax.add_artist(s)
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self.ax.set_xlabel('x-position')
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self.ax.set_ylabel('y-position')
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self.ax.grid()
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@ -231,6 +226,7 @@ class RemoteController:
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def ani(self):
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print("starting animation")
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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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@ -251,10 +247,13 @@ class RemoteController:
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self.track_line_outer.set_data(self.track.outer_poly.exterior.xy)
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return self.line, self.line_sim, self.dirm, self.dirs, self.line_ol,\
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self.track_line_inner, self.track_line_outer, self.line_x,self.line_y, self.circles[0], self.circles[1],\
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self.circles[2], self.circles[3],
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self.track_line_inner, self.track_line_outer, self.line_x,self.line_y,
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def ani_update(self, frame):
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if self.anim_stopped:
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self.ani.event_source.stop()
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sys.exit(0)
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#print("plotting")
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self.mutex.acquire()
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try:
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@ -306,21 +305,11 @@ class RemoteController:
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else:
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self.line_ol.set_data([],[])
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i = 0
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obst_keys = self.obstacles.keys()
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for s in self.circles:
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o = self.obstacles[obst_keys[i]]
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i = i + 1
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if o.pos is not None:
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s.center = o.pos
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s.radius = o.radius
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finally:
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self.mutex.release()
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return self.line, self.line_sim, self.dirm, self.dirs, self.line_ol, self.track_line_inner, self.track_line_outer,\
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self.line_x, self.line_y, self.circles[0], self.circles[1],self.circles[2],self.circles[3],
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self.line_x, self.line_y,
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def measurement_callback(self, data):
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#print(data)
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@ -352,11 +341,6 @@ class RemoteController:
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finally:
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self.mutex.release()
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# detect obstacles
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if data.id in self.obstacles.keys():
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obst = (data.x, data.y)
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self.obstacles[data.id].pos = obst
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# detect track
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if data.id in self.track.inner.keys() or data.id in self.track.outer.keys():
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self.track.set_id(data)
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@ -369,7 +353,8 @@ class RemoteController:
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markers_out = self.track.outer.values()
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# find targets:
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lamb = 0.2
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# generate waypoints
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lamb = 0.5
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j = 0
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for i in range(0,4):
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p = np.array(markers_in[i]) + lamb * (np.array(markers_out[i]) - np.array(markers_in[i]))
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@ -384,6 +369,8 @@ class RemoteController:
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auto_control = False
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current_target = 0
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control_scaling = 0.3
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while True:
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@ -422,8 +409,26 @@ class RemoteController:
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auto_control = not auto_control
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if auto_control:
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self.target = targets[current_target]
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elif event.key == pygame.K_PLUS:
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control_scaling += 0.1
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control_scaling = min(control_scaling, 1.0)
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elif event.key == pygame.K_MINUS:
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control_scaling -= 0.1
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control_scaling = max(control_scaling, 0.3)
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elif event.key == pygame.K_ESCAPE:
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print("quit!")
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self.controlling = False
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if self.rc_socket:
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self.rc_socket.send('(0.0,0.0)\n')
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self.anim_stopped = True
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return
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elif event.key == pygame.QUIT:
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sys.exit(0)
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print("quit!")
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self.controlling = False
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if self.rc_socket:
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self.rc_socket.send('(0.0,0.0)\n')
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self.anim_stopped = True
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return
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if self.controlling:
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@ -439,10 +444,13 @@ class RemoteController:
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tmpc_start = time.time()
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# solve mpc open loop problem
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res = self.ols.solve(x_pred, self.target, self.obstacles, self.track)
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res = self.ols.solve(x_pred, self.target, [], self.track)
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us1 = res[0]
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us2 = res[1]
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#us1 = res[0]
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#us2 = res[1]
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us1 = res[0] * control_scaling
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us2 = res[1] * control_scaling
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print("u = {}", (us1, us2))
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# save open loop trajectories for plotting
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self.mutex.acquire()
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@ -493,9 +501,18 @@ class RemoteController:
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def main(args):
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parser = ArgumentParser()
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parser.add_argument('id', metavar='id', type=str, help='marker id of the controlled robot')
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parser.add_argument('ip', metavar='ip', type=str, help='ip address of the controlled robot')
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args = parser.parse_args()
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marker_id = int(args.id)
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ip = args.ip
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rospy.init_node('controller_node', anonymous=True)
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rc = RemoteController()
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rc = RemoteController(marker_id, ip)
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pygame.init()
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@ -508,10 +525,11 @@ def main(args):
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pass
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#threading.Thread(target=rc.input_handling).start()
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threading.Thread(target=rc.controller).start()
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controller_thread = threading.Thread(target=rc.controller)
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controller_thread.start()
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rc.ani()
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if __name__ == '__main__':
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main(sys.argv)
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main(sys.argv)
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