示例#1
0
    def path_init(self):

        # Set up the trajectory
        points = [
            pf.Waypoint(0, 0, 0),
            pf.Waypoint(6, -6, 0),
            pf.Waypoint(11, -6, 0),
            pf.Waypoint(8, 0, math.radians(-90)),
            #pf.Waypoint(23.5, 8, 0),
        ]
示例#2
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    def autonomousInit(self):

        # Set up the trajectory
        points = [pf.Waypoint(0, 0, 0), pf.Waypoint(9, 5, 0)]

        info, trajectory = pf.generate(
            points,
            pf.FIT_HERMITE_CUBIC,
            pf.SAMPLES_HIGH,
            dt=self.getPeriod(),
            max_velocity=self.MAX_VELOCITY,
            max_acceleration=self.MAX_ACCELERATION,
            max_jerk=120.0,
        )

        # Wheelbase Width = 2 ft
        modifier = pf.modifiers.TankModifier(trajectory).modify(2.0)

        # Do something with the new Trajectories...
        left = modifier.getLeftTrajectory()
        right = modifier.getRightTrajectory()

        leftFollower = pf.followers.EncoderFollower(left)
        leftFollower.configureEncoder(self.l_encoder.get(),
                                      self.ENCODER_COUNTS_PER_REV,
                                      self.WHEEL_DIAMETER)
        leftFollower.configurePIDVA(1.0, 0.0, 0.0, 1 / self.MAX_VELOCITY, 0)

        rightFollower = pf.followers.EncoderFollower(right)
        rightFollower.configureEncoder(self.r_encoder.get(),
                                       self.ENCODER_COUNTS_PER_REV,
                                       self.WHEEL_DIAMETER)
        rightFollower.configurePIDVA(1.0, 0.0, 0.0, 1 / self.MAX_VELOCITY, 0)

        self.leftFollower = leftFollower
        self.rightFollower = rightFollower

        # This code renders the followed path on the field in simulation (requires pyfrc 2018.2.0+)
        if wpilib.RobotBase.isSimulation():
            from pyfrc.sim import get_user_renderer

            renderer = get_user_renderer()
            if renderer:
                renderer.draw_pathfinder_trajectory(left,
                                                    color="#0000ff",
                                                    offset=(-1, 0))
                renderer.draw_pathfinder_trajectory(modifier.source,
                                                    color="#00ff00",
                                                    show_dt=1.0,
                                                    dt_offset=0.0)
                renderer.draw_pathfinder_trajectory(right,
                                                    color="#0000ff",
                                                    offset=(1, 0))
示例#3
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    def mousePressEvent(self, QMouseEvent):
        pos = QMouseEvent.pos()
        if QApplication.keyboardModifiers() & Qt.ControlModifier:
            pnt = self.get_closest_waypoint(pos, 20)
            if pnt is not None:
                index = self.points.index(pnt)
                self.points.remove(pnt)
            else:
                pnt = self.get_closest_path_point(pos, 20)
                new_point = pf.Waypoint(pnt.x, pnt.y, pnt.heading)
                if pnt is not None:
                    index = None
                    for i in range(self.middle_profile.index(pnt),
                                   len(self.middle_profile)):
                        profile_pnt = self.middle_profile[i]
                        for j in range(len(self.points)):
                            waypnt = self.points[j]
                            dist = math.sqrt((waypnt.y - profile_pnt.y)**2 +
                                             (waypnt.x - profile_pnt.x)**2)
                            if dist < 0.2:
                                self.points.insert(j, new_point)
                                break
                        else:
                            continue
                        break
            self.create_profiles()
            self.repaint()

        elif QApplication.keyboardModifiers() & Qt.AltModifier:
            pnt = self.get_closest_arm_endpoint(pos, 20)
            if pnt is not None:
                if self.point_being_dragged is None:
                    self.drag_mode = "angle"
                    self.point_being_dragged = pnt
                    self.ghost_point = pf.Waypoint(pnt.x, pnt.y, pnt.angle)
                    arm_x, arm_y = self.get_arm_gui_point(
                        self.point_being_dragged)
                    self.drag_offset = [pos.x() - arm_x, pos.y() - arm_y]

        else:
            pnt = self.get_closest_waypoint(pos, 20)
            if pnt is not None:
                if self.point_being_dragged is None:
                    self.drag_mode = "pos"
                    self.point_being_dragged = pnt
                    self.ghost_point = pf.Waypoint(pnt.x, pnt.y, pnt.angle)
                    pnt_x, pnt_y = self.convert_pf_point_to_gui_point(pnt)
                    self.drag_offset = [pos.x() - pnt_x, pos.y() - pnt_y]
示例#4
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def generate_path():
    #XXX need to pick good waypoints
    # waypoints initialize at 0, 0
    waypoints = [
        pf.Waypoint(0, 0, 0),
        pf.Waypoint(1, 1, 1),
        pf.Waypoint(2, 2, 2)
    ]

    # This returns a tuple of TrajectoryInfo and a trajectory constituting
    # a list of points to follow over time)
    info, trajectory = pf.generate(
        waypoints,
        pf.FIT_HERMITE_CUBIC,
        #XXX not sure what that does
        pf.SAMPLES_HIGH,
        #XXX dt means change in time in seconds?
        # 50ms
        dt=0.05,
        #XXX max velocity is probably in the units that your encoder and gyro
        # calculate it in
        max_velocity=1,
        max_acceleration=2,
        max_jerk=3)

    # pass in wheelbase width in meters
    #XXX wrong width
    modifier = pf.modifiers.TankModifier(trajectory).modify(1)
    mx, my = zip(*[(m.y, m.x) for m in points])
    plt.scatter(mx, my, c="r")

    # plot the trajectory
    x, y = zip(*[(seg.y, seg.x) for seg in trajectory])
    plt.plot(x, y)

    # annotate with time
    for i in range(0, len(trajectory), int(0.5 / dt)):
        plt.annotate(
            "t=%.2f" % (i * dt, ),
            xy=(x[i], y[i]),
            xytext=(-20, 20),
            textcoords="offset points",
            arrowprops=dict(arrowstyle="->", connectionstyle="arc3,rad=0"),
        )

    plt.show()
    return modifier
示例#5
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 def draw_field_box(self, qp, grid=False):
     pen = QPen()
     pen.setColor(QColor(100, 100, 100))
     pen.setWidth(1)
     qp.setPen(pen)
     qp.drawRect(self.field_rect)
     if grid:
         pen.setColor(QColor(100, 100, 100))
         pen.setWidth(1)
         qp.setPen(pen)
         for i in range(math.floor(52 * 0.3048)):
             qp.drawLine(
                 *self.convert_pf_point_to_gui_point(
                     pf.Waypoint(i + 1, 0, 0)),
                 *self.convert_pf_point_to_gui_point(
                     pf.Waypoint(i + 1, 27 * 0.3048, 0)))
         for i in range(math.floor(27 * 0.3048)):
             qp.drawLine(
                 *self.convert_pf_point_to_gui_point(
                     pf.Waypoint(0, i + 1, 0)),
                 *self.convert_pf_point_to_gui_point(
                     pf.Waypoint(52 * 0.3048, i + 1, 0)))
示例#6
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    def __init__(self, robot):
        super().__init__()
        points = [pf.Waypoint(0, 0, 0), pf.Waypoint(13, 0, 0)]

        info, trajectory = pf.generate(
            points,
            pf.FIT_HERMITE_CUBIC,
            pf.SAMPLES_HIGH,
            max_velocity=PassAutoLine.MAXVELOCITY,
            max_acceleration=PassAutoLine.MAXACCELERATION,
            max_jerk=120.0,
        )

        # Wheelbase Width = 2 ft
        modifier = pf.modifiers.TankModifier(trajectory).modify(
            robotmap.robotDiameter / 12)

        # Do something with the new Trajectories...
        left = modifier.getLeftTrajectory()
        right = modifier.getRightTrajectory()

        leftFollower = pf.followers.EncoderFollower(left)
        leftFollower.configureEncoder(robot.drivetrain.encoderLeft,
                                      robotmap.encoderPerRev,
                                      robotmap.wheelDiameter)
        leftFollower.configurePIDVA(1.0, 0.0, 0.0,
                                    1 / PassAutoLine.MAXVELOCITY, 0)

        rightFollower = pf.followers.EncoderFollower(right)
        rightFollower.configureEncoder(robot.drivetrain.encoderRight,
                                       robotmap.encoderPerRev,
                                       robotmap.wheelDiameter)
        rightFollower.configurePIDVA(1.0, 0.0, 0.0,
                                     1 / PassAutoLine.MAXVELOCITY, 0)

        self.leftFollower = leftFollower
        self.rightFollower = rightFollower

        self.addSequential(driveForwards.DriveForward(robot, 160))
示例#7
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    def __init__(self, parent, chart, legend_info):
        super().__init__(parent)
        self.parent = parent
        self.chart = chart
        self.legend_info = legend_info
        self.setFixedSize(self.parent.size())
        self.field_pixmap = QPixmap('img/powerup_field.png')
        self.field_rect = QRect(33, 15, 732, 367)

        self.last_points = None
        self.points = [
            pf.Waypoint(0.6, 1.2, 0),
            pf.Waypoint(4.2, 1.2, 0),
            pf.Waypoint(6, 3, math.radians(90)),
            pf.Waypoint(5.9, 15 * 0.3, math.radians(95)),
            pf.Waypoint(24.5 * 0.3, 20.5 * 0.3, math.radians(-10))
        ]

        self.drag_mode = None
        self.point_being_dragged = None
        self.drag_offset = None
        self.ghost_point = None
示例#8
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    def move_to(self, x_position, y_position, angle=0, first=False):
        """
        Generate path and set path variable

        :param x_position: The x distance.
        :param y_position: The y distance.
        :param angle: The angle difference in degrees.
        :param first: Whether or not this path should be completed next.
        """
        waypoint = pf.Waypoint(float(x_position), float(y_position),
                               radians(angle))

        info, trajectory = pf.generate([pf.Waypoint(0, 0, 0), waypoint],
                                       pf.FIT_HERMITE_CUBIC, pf.SAMPLES_HIGH,
                                       0.05, 1.7, 2.0, 60.0)

        modifier = pf.modifiers.TankModifier(trajectory).modify(0.5)
        right_trajectory = modifier.getRightTrajectory()
        left_trajectory = modifier.getLeftTrajectory()

        with self.cond:
            if self.left_follower or self.right_follower is None:
                self.right_follower = pf.followers.EncoderFollower(
                    right_trajectory)
                self.left_follower = pf.followers.EncoderFollower(
                    left_trajectory)

            if first:
                self.trajectories.appendLeft({
                    'right': right_trajectory,
                    'left': left_trajectory
                })
            else:
                self.trajectories.append({
                    'right': right_trajectory,
                    'left': left_trajectory
                })
            self.cond.notify()
示例#9
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 def get_path_to_generate(self):
     '''
     unpickle the received path
     '''
     try:
         result = []
         waypoints = pickle.loads(self.SENT_PATH)
         print("RECEIVED PATH TO GENERATE")
         for waypoint in waypoints:
             result.append(pf.Waypoint(*waypoint))
         print("TRAJ:", result)
         return result 
     except Exception as e:
         print("ERROR:", e)
         return None
示例#10
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def test_generate_routes(robot):
    with open(sys.path[0] + ("/../" if os.getcwd()[-5:-1] == "test" else "/") +
              "config/routes.json") as f:
        routes = json.load(f)
    for name, config in routes.items():
        trajectories = []
        for path_config in config["paths"]:
            path = []
            for point in path_config:
                path.append(
                    pathfinder.Waypoint(point["x"], point["y"],
                                        pathfinder.d2r(point["angle"])))
            trajectories.append(
                PathGenerator.generate(path, config["dt"],
                                       config["max_velocity"],
                                       config["max_acceleration"],
                                       config["max_jerk"]))
        PathGenerator.set(name, trajectories)
示例#11
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文件: paths.py 项目: 3299/2018
    def __init__(self):
        if wpilib.RobotBase.isSimulation():
            # Generate trajectories during testing
            paths = {
                'forward': [
                    pf.Waypoint(-11, 0, 0),
                    pf.Waypoint(0, 0, 0)
                ],

                'left': [
                    pf.Waypoint(0, 0, 0),
                    pf.Waypoint(6, -6, 0),
                    pf.Waypoint(11, -6, 0),
                    pf.Waypoint(8, 0, math.radians(-90)),
                    #pf.Waypoint(18, 0, 0)
                    #pf.Waypoint(14, 14, 0)
                    #pf.Waypoint(10, 15, 0),
                    #pf.Waypoint(14, 14, math.radians(-90))
                    #pf.Waypoint(-8, -5, 0),
                    #pf.Waypoint(-4, -1, math.radians(-45.0)),   # Waypoint @ x=-4, y=-1, exit angle=-45 degrees
                    #pf.Waypoint(-2, -2, 0),                     # Waypoint @ x=-2, y=-2, exit angle=0 radians
                ]
            }

            trajectories = {}

            for path in paths:
                info, trajectory = pf.generate(paths[path],
                                               pf.FIT_HERMITE_CUBIC,
                                               pf.SAMPLES_HIGH,
                                               dt = 0.05,
                                               max_velocity = 1.7,
                                               max_acceleration = 2,
                                               max_jerk = 100
                                               )
                trajectories[path] = trajectory

                self.trajectories = trajectories

            # and then write it out
            with open(pickle_file, 'wb') as fp:
                pickle.dump(self.trajectories, fp)
        else:
            with open(pickle_file, 'rb') as fp:
                self.trajectories = pickle.load(fp)
示例#12
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def convert_waypoints(path: List[Pose]):
    for wp in path:
        yield pf.Waypoint(wp.x, wp.y, wp.heading)
示例#13
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import pathfinder as pf
import pickle
import math
import csv

# Pathfinder constants
MAX_VELOCITY = 4  # ft/s
MAX_ACCELERATION = 4  #ft/s/s
PERIOD = 0.02
MAX_JERK = 120.0

# Set up the trajectory
points = [
    pf.Waypoint(0, 0, 0),
    pf.Waypoint(6, 3, math.pi / 2),
    pf.Waypoint(0, 6, 0)
]

info, trajectory = pf.generate(
    points,
    pf.FIT_HERMITE_CUBIC,
    pf.SAMPLES_HIGH,
    dt=PERIOD,
    max_velocity=MAX_VELOCITY,
    max_acceleration=MAX_ACCELERATION,
    max_jerk=MAX_JERK,
)
'''
with open('/home/ubuntu/out.csv', 'w+') as points:
    points_writer = csv.writer(points, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
# waypoints = [
#     pf.Waypoint(0, 0, 0),
#     pf.Waypoint(100 / 12,  48 / 12, 0),
# ]
#
# GeneratePath(os.path.dirname(__file__), "middle_start_right_switch", waypoints, settings)
#===================================================================================================

PathFinderSettings = namedtuple("PathFinderSettings", [
    "order", "samples", "period", "maxVelocity", "maxAcceleration", "maxJerk"
])
settings = PathFinderSettings(order=pf.FIT_HERMITE_QUINTIC,
                              samples=1000000,
                              period=0.01,
                              maxVelocity=5.0,
                              maxAcceleration=10,
                              maxJerk=30)

# The waypoints are entered as X, Y, and Theta.  +X is forward, +Y is left, and +Theta is measured from +X to +Y
xOffset = 0.5 * X_ROBOT_LENGTH
yOffset = -(Y_WALL_TO_EXCHANGE_FAR + 0.5 * Y_ROBOT_WIDTH)

waypoints = [
    pf.Waypoint(0, 0, 0),
    pf.Waypoint(102 / 12, -52 / 12, 0),
]

GenerateTalonMotionProfileArcPath(os.path.dirname(__file__),
                                  "middle_start_right_switch", waypoints,
                                  settings)
示例#15
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import os
import pathfinder as pf
from constants import X_ROBOT_LENGTH, Y_ROBOT_WIDTH, X_WALL_TO_SWITCH_NEAR, Y_WALL_TO_START
from utilities.functions import GeneratePath


class settings():
    order = pf.FIT_HERMITE_QUINTIC
    samples = 1000000
    period = 0.02
    maxVelocity = 5.0
    maxAcceleration = 10
    maxJerk = 15

# The waypoints are entered as X, Y, and Theta. Theta is measured clockwise from the X-axis and
# is in units of radians. It is important to generate the paths in a consistent manner to those
# used by the controller. For example, use either metric or imperial units.  Also, use a
# consistent frame of reference. This means that +X is forward, -X is backward, +Y is right, and
# -Y is left, +headings are going from +X towards +Y, and -headings are going from +X to -Y.
waypoints = [
    pf.Waypoint(0, 0, 0),
    pf.Waypoint(58 / 12, -5 / 12, 0),
]

GeneratePath(os.path.dirname(__file__), "first_cube_middle_start", waypoints, settings)
示例#16
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# import sys
# sys.path = ['/Library/Frameworks/Python.framework/Versions/3.9/lib/python39.zip', '/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9', '/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/lib-dynload', '/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages', '/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/pathfinder/_pathfinder.cpython-39-darwin.so']
import pathfinder as pf
import math
import numpy as np
from pathFunc import *

#change these points and run file
<<<<<<< HEAD
points = [
    pf.Waypoint(-2.8, 0.1, 0),   # Waypoint @ x=-4, y=-1, exit angle=-45 degrees
    pf.Waypoint(-1.75, 0.1, 0),
    pf.Waypoint(5, -1.75, math.pi/2), # Waypoint @ x=0, y=0,   exit angle=0 radians
]
# # points = [pf.Waypoint(-4, -1, math.radians(-45.0)), pf.Waypoint(-2, -2, 0), pf.Waypoint(0, 0, 0),]
=======
# points = [
#     pf.Waypoint(-4, -1, math.radians(-45.0)),   # Waypoint @ x=-4, y=-1, exit angle=-45 degrees
#     pf.Waypoint(-2, -2, 0),                     # Waypoint @ x=-2, y=-2, exit angle=0 radians
#     pf.Waypoint(0, 0, 0),                       # Waypoint @ x=0, y=0,   exit angle=0 radians
# # ]
# points = [pf.Waypoint(-4, 1, 0), pf.Waypoint(-2, -2, 0), pf.Waypoint(0, 0, 0)]
# points = [pf.Waypoint(-6, -5, 0), pf.Waypoint(-2, -3, 0), pf.Waypoint(0, 0, 0), pf.Waypoint(2, 3, 0)]
# points = [pf.Waypoint(-6, -5, 0),pf.Waypoint(-2, -3, 0), pf.Waypoint(1, 2, 0), pf.Waypoint(2, 3, 0), pf.Waypoint(3, 8, 0)]
points = [pf.Waypoint(-2, -1, 0),pf.Waypoint(0, -5, 0), pf.Waypoint(1, -7, 0)]
>>>>>>> 18c6b9a0acbc8d7219779cb1a10f8f226c6645f4
# info, trajectory = pf.generate(points, pf.FIT_HERMITE_CUBIC, pf.SAMPLES_HIGH, dt=0.05,max_velocity=1.7,max_acceleration=2.0,max_jerk=60.0)


# modifier = pf.modifiers.TankModifier(trajectory).modify(0.5) #0.5 is the width of the wheelchair base need to change
# right = modifier.getRightTrajectory()
示例#17
0
# ]
#
# GeneratePath(os.path.dirname(__file__), "left_switch_cube_retrieval", waypoints, settings, True)
#===================================================================================================

PathFinderSettings = namedtuple("PathFinderSettings", [
    "order", "samples", "period", "maxVelocity", "maxAcceleration", "maxJerk"
])
settings = PathFinderSettings(
    order=pf.FIT_HERMITE_CUBIC,
    samples=1000000,
    period=0.01,
    #maxVelocity=3.0,#
    maxVelocity=5.0,
    #maxAcceleration=6,#
    maxAcceleration=7,
    maxJerk=30)

# The waypoints are entered as X, Y, and Theta.  +X is forward, +Y is left, and +Theta is measured from +X to +Y
xOffset = 0.5 * X_ROBOT_LENGTH
yOffset = -(Y_WALL_TO_EXCHANGE_FAR + 0.5 * Y_ROBOT_WIDTH)

waypoints = [
    pf.Waypoint(0, 0, 0),
    pf.Waypoint(-60 / 12, 0, pf.d2r(45.0)),
]

GenerateTalonMotionProfileArcPath(os.path.dirname(__file__),
                                  "left_switch_cube_retrieval", waypoints,
                                  settings, True)
示例#18
0
# # is in units of radians. It is important to generate the paths in a consistent manner to those
# # used by the controller. For example, use either metric or imperial units.  Also, use a
# # consistent frame of reference. This means that +X is forward, -X is backward, +Y is right, and
# # -Y is left, +headings are going from +X towards +Y, and -headings are going from +X to -Y.
# waypoints = [
#     pf.Waypoint(0, 0, 0),
#     pf.Waypoint(48 / 12, 0, 0),
# ]
# 
# GeneratePath(os.path.dirname(__file__), "switch_prep_left_switch", waypoints, settings, False)
#===================================================================================================

PathFinderSettings = namedtuple("PathFinderSettings", ["order", "samples", "period", "maxVelocity", "maxAcceleration", "maxJerk"])
settings = PathFinderSettings(order=pf.FIT_HERMITE_CUBIC,
                              samples=1000000,
                              period=0.01,
                              maxVelocity=5.0,
                              maxAcceleration=8,
                              maxJerk=30)

# The waypoints are entered as X, Y, and Theta.  +X is forward, +Y is left, and +Theta is measured from +X to +Y
xOffset = 0.5 * X_ROBOT_LENGTH
yOffset = -(Y_WALL_TO_EXCHANGE_FAR + 0.5 * Y_ROBOT_WIDTH)

waypoints = [
    pf.Waypoint(0, 0, 0),
    pf.Waypoint(70 / 12, 0, 0),
]

GenerateTalonMotionProfileArcPath(os.path.dirname(__file__), "switch_prep_left_switch", waypoints, settings)
示例#19
0
import os
import pathfinder as pf
from utilities.functions import GenerateMotionProfile

SAMPLE_PERIOD = 10  # MS
DISTANCE = 8.05  # rotations (825 native units)
MAX_VELOCITY = 4.0  # rotations / second
MAX_ACCELERATION = 8.0  # rotations / second^2
MAX_JERK = 15.0  # rotations / second^3
POSITION_UNITS = 1023 * (1 / 10)  # 10-bit ADC / 10-turn pot...rotations
VELOCITY_UNITS = 1023 / 100  # 10-bit ADC / 100ms...natural units of Talon velocity

# Generate the path
info, trajectory = pf.generate(
    [pf.Waypoint(0.0, 0.0, 0.0),
     pf.Waypoint(DISTANCE, 0.0, 0.0)], pf.FIT_HERMITE_CUBIC, 1000000,
    SAMPLE_PERIOD / 1000, MAX_VELOCITY, MAX_ACCELERATION, MAX_JERK)

GenerateMotionProfile(os.path.dirname(__file__), "boom_intake_to_scale",
                      trajectory, POSITION_UNITS, VELOCITY_UNITS)
示例#20
0
import math, cv2
import numpy as np
import pathfinder as pf

points = [
    pf.Waypoint(-2, 5, math.radians(90 + 30)),
    pf.Waypoint(0, 0, math.radians(90))
]

img = np.zeros((500, 500, 3))

info, trajectory = pf.generate(
    points,
    pf.FIT_HERMITE_CUBIC,
    pf.SAMPLES_HIGH,
    dt=0.05,  # 50ms
    max_velocity=5.0,
    max_acceleration=15.0,
    max_jerk=60.0)

modifier = pf.modifiers.TankModifier(trajectory).modify(
    2.33)  # TODO MEASURE WHEELBASE WIDTH
left = modifier.getLeftTrajectory()
right = modifier.getRightTrajectory()

for segment in left:
    print(segment.x, segment.y)
    cv2.circle(
        img, ((img.shape[1] // 2) - int(segment.x * 50), int(segment.y * 50)),
        3, (255, 255, 0), -1)
# ]
#
# GeneratePath(os.path.dirname(__file__), "right_start_right_scale", waypoints, settings)
#===================================================================================================

PathFinderSettings = namedtuple("PathFinderSettings", [
    "order", "samples", "period", "maxVelocity", "maxAcceleration", "maxJerk"
])
settings = PathFinderSettings(order=pf.FIT_HERMITE_QUINTIC,
                              samples=1000000,
                              period=0.02,
                              maxVelocity=7.0,
                              maxAcceleration=10,
                              maxJerk=30)

# The waypoints are entered as X, Y, and Theta.  +X is forward, +Y is left, and +Theta is measured from +X to +Y
xOffset = 0.5 * X_ROBOT_LENGTH
yOffset = -(Y_WALL_TO_EXCHANGE_FAR + 0.5 * Y_ROBOT_WIDTH)

waypoints = [
    pf.Waypoint(0, 0, 0),
    pf.Waypoint(X_WALL_TO_SWITCH_FAR - 0.5 * X_ROBOT_LENGTH,
                Y_WALL_TO_SCALE_FAR + 0.5 * Y_ROBOT_WIDTH, 0),
    pf.Waypoint(
        X_WALL_TO_SCALE_NEAR + math.sin(pf.d2r(20.0)) * 0.5 * Y_ROBOT_WIDTH -
        0.5 * X_ROBOT_LENGTH, Y_WALL_TO_SCALE_FAR, pf.d2r(-20.0)),
]

GenerateTalonMotionProfileArcPath(os.path.dirname(__file__),
                                  "left_start_left_scale", waypoints, settings)
示例#22
0
from ftplib import FTP
import pathfinder as pf
import math
points = [
    pf.Waypoint(0, 0, math.radians(0)),
    pf.Waypoint(1, 1, math.radians(90))
]
info, trajectory = pf.generate(
    points,
    pf.FIT_HERMITE_CUBIC,
    pf.SAMPLES_HIGH,
    dt=0.05,  # 50ms
    max_velocity=24.0,
    max_acceleration=10.0,
    max_jerk=60.0)
pf.serialize("newTrajectory.bin", trajectory)
with FTP("roboRIO-2577-frc.local") as ftp:
    ftp.login()
    ftp.storbinary('STOR newTrajectory.bin',
                   open("newTrajectory.bin", mode='rb'))
示例#23
0
def createPoints(points):
    list = []
    for p in points:
        list.append(pf.Waypoint(p[0], p[1], p[2]))
    return list
示例#24
0
class AutoTrajectories():
    RightRocketNear = [
        pf.Waypoint(0, 0, 0),
        pf.Waypoint(11, -7.5, -math.pi / 6)
    ]

    RightRocketFar = [
        pf.Waypoint(0, 0, 0),
        pf.Waypoint(3, 0, 0),
        pf.Waypoint(15.5, -2, -math.pi / 6),
        pf.Waypoint(16.5, -7.5, math.pi / 5.5)
    ]

    LeftRocketNear = [pf.Waypoint(0, 0, 0), pf.Waypoint(11, 7.5, math.pi / 6)]

    LeftRocketFar = [
        pf.Waypoint(0, 0, 0),
        pf.Waypoint(3, 0, 0),
        pf.Waypoint(15.5, 2, math.pi / 6),
        pf.Waypoint(16.5, 7.5, -math.pi / 5.5)
    ]


#Right Start, Near hatch
#pf.Waypoint(0, 0, 0), pf.Waypoint(11, -7.5, -math.pi/6)

#Right Start, Far hatch
#pf.Waypoint(0, 0, 0),pf.Waypoint(3, 0, 0), pf.Waypoint(15.5, -2, -math.pi/6), pf.Waypoint(16.5, -7.5, math.pi/5.5)

#Left Start, Near hatch
#pf.Waypoint(0, 0, 0), pf.Waypoint(11, 7.5, math.pi/6)

#Left Start, Far hatch
#pf.Waypoint(0, 0, 0),pf.Waypoint(3, 0, 0), pf.Waypoint(15.5, 2, math.pi/6), pf.Waypoint(16.5, 7.5, -math.pi/5.5)
示例#25
0
# drivetrain.drive_motion_profile(-100, 10, 1)
# drivetrain.drive_to_xy(0, -100, 0.5, 0.01)
# drivetrain.drive_pure_pursuit(bezier, 5, 1, 5, 1, True, 1)
# drivetrain.set_position(100, 0)
# drivetrain.follow_path(bezier, 1, 0.01, 0)
# drivetrain.drive_pure_pursuit_2(opposite_scale_auto, 10, 5, 0.1, True)
# drivetrain.drive_forward_PID(100, 0.1, 0)
# print(1)
# drivetrain.turn_to_angle_PID(180, 0.1, 0)
# drivetrain.drive_pure_pursuit_4(bezier, 10, 5, 0, True)
# drivetrain.graph()
# print(1)
# print(bezier_2.get_closest_point(0, 0))

right_switch_auto = pf.generate(
    [pf.Waypoint(0, 0, math.radians(0)),
     pf.Waypoint(5, 5, math.radians(0))],
    pf.FIT_HERMITE_CUBIC,
    pf.SAMPLES_HIGH,
    dt=0.02,  # 50WWms
    max_velocity=5,
    max_acceleration=2.0,
    max_jerk=60.0)[1]

backwards_auto = pf.generate(
    [pf.Waypoint(0, 0, math.radians(0)),
     pf.Waypoint(-5, 5, math.radians(0))],
    pf.FIT_HERMITE_CUBIC,
    pf.SAMPLES_HIGH,
    dt=0.02,  # 50WWms
    max_velocity=5,
#     pf.Waypoint(50 / 12, 0, 0),
# ]
#
# GeneratePath(os.path.dirname(__file__), "right_cube_retrieval_cube_get", waypoints, settings, False, True, 45.0)
#===================================================================================================

PathFinderSettings = namedtuple("PathFinderSettings", [
    "order", "samples", "period", "maxVelocity", "maxAcceleration", "maxJerk"
])
settings = PathFinderSettings(
    order=pf.FIT_HERMITE_QUINTIC,
    samples=1000000,
    period=0.01,
    maxVelocity=7.0,
    maxAcceleration=10,
    #maxJerk=30#
    maxJerk=40)

# The waypoints are entered as X, Y, and Theta.  +X is forward, +Y is left, and +Theta is measured from +X to +Y
xOffset = 0.5 * X_ROBOT_LENGTH
yOffset = -(Y_WALL_TO_EXCHANGE_FAR + 0.5 * Y_ROBOT_WIDTH)

waypoints = [
    pf.Waypoint(0, 0, 0),
    pf.Waypoint(50 / 12, 0, 0),
]

GenerateTalonMotionProfileArcPath(os.path.dirname(__file__),
                                  "right_cube_retrieval_cube_get", waypoints,
                                  settings, False, True, 45.0)
# ]
#
# GeneratePath(os.path.dirname(__file__), "right_cube_get_switch_prep", waypoints, settings, True)
#===================================================================================================

PathFinderSettings = namedtuple("PathFinderSettings", [
    "order", "samples", "period", "maxVelocity", "maxAcceleration", "maxJerk"
])
settings = PathFinderSettings(
    order=pf.FIT_HERMITE_CUBIC,
    samples=1000000,
    period=0.01,
    #maxVelocity=3.0,#
    maxVelocity=5.0,
    #maxAcceleration=6,#
    maxAcceleration=7,
    maxJerk=30)

# The waypoints are entered as X, Y, and Theta.  +X is forward, +Y is left, and +Theta is measured from +X to +Y
xOffset = 0.5 * X_ROBOT_LENGTH
yOffset = -(Y_WALL_TO_EXCHANGE_FAR + 0.5 * Y_ROBOT_WIDTH)

waypoints = [
    pf.Waypoint(0, 0, pf.d2r(-45.0)),
    pf.Waypoint(-40 / 12, 38 / 12, 0),
]

GenerateTalonMotionProfileArcPath(os.path.dirname(__file__),
                                  "right_cube_get_switch_prep", waypoints,
                                  settings, True)
示例#28
0
import os
import pathfinder as pf
from constants import X_ROBOT_LENGTH, Y_ROBOT_WIDTH, X_WALL_TO_SWITCH_NEAR, Y_WALL_TO_START
from utilities.functions import GeneratePath


class settings():
    order = pf.FIT_HERMITE_QUINTIC
    samples = 1000000
    period = 0.02
    maxVelocity = 5.0
    maxAcceleration = 10
    maxJerk = 15


# The waypoints are entered as X, Y, and Theta. Theta is measured clockwise from the X-axis and
# is in units of radians. It is important to generate the paths in a consistent manner to those
# used by the controller. For example, use either metric or imperial units.  Also, use a
# consistent frame of reference. This means that +X is forward, -X is backward, +Y is right, and
# -Y is left, +headings are going from +X towards +Y, and -headings are going from +X to -Y.
waypoints = [
    pf.Waypoint(0.5 * X_ROBOT_LENGTH, Y_WALL_TO_START + 0.5 * Y_ROBOT_WIDTH,
                0),
    pf.Waypoint(X_WALL_TO_SWITCH_NEAR - 0.5 * X_ROBOT_LENGTH,
                Y_WALL_TO_START + 0.5 * Y_ROBOT_WIDTH, 0),
]

GeneratePath(os.path.dirname(__file__), "forward_path", waypoints)
示例#29
0
#!/usr/bin/env python3

import pathfinder as pf
import math

if __name__ == "__main__":

    points = [
        pf.Waypoint(-4, -1, math.radians(-45.0)),
        pf.Waypoint(-2, -2, 0),
        pf.Waypoint(0, 0, 0),
    ]

    info, trajectory = pf.generate(
        points,
        pf.FIT_HERMITE_CUBIC,
        pf.SAMPLES_HIGH,
        dt=0.05,  # 50ms
        max_velocity=1.7,
        max_acceleration=2.0,
        max_jerk=60.0,
    )

    # Do something with the new Trajectory...
示例#30
0
import math
import os
import pathfinder as pf
from constants import X_ROBOT_LENGTH, Y_ROBOT_WIDTH, Y_WALL_TO_EXCHANGE_FAR, \
    X_WALL_TO_SWITCH_NEAR
from utilities.functions import GeneratePath


class settings():
    order = pf.FIT_HERMITE_QUINTIC
    samples = 1000000
    period = 0.02
    maxVelocity = 6.0
    maxAcceleration = 10
    maxJerk = 30


# The waypoints are entered as X, Y, and Theta. Theta is measured clockwise from the X-axis and
# is in units of radians. It is important to generate the paths in a consistent manner to those
# used by the controller. For example, use either metric or imperial units.  Also, use a
# consistent frame of reference. This means that +X is forward, -X is backward, +Y is right, and
# -Y is left, +headings are going from +X towards +Y, and -headings are going from +X to -Y.
waypoints = [
    pf.Waypoint(0, 0, 0),
    pf.Waypoint(60 / 12, 22 / 12, 0),
]

GeneratePath(os.path.dirname(__file__), "middle_start_left_switch_first_cube",
             waypoints, settings)