Sensor movement of poses
This commit is contained in:
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"""Represent the lines and target zone of the arena"""
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boundary_lines = [
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[(0,0), (0, 1500)],
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[(0, 1500), (1500, 1500)],
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[(1500, 1500), (1500, 500)],
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[(1500, 500), (1000, 500)],
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[(1000, 500), (1000, 0)],
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[(1000, 0), (0, 0)],
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]
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target_zone = [
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[(1100, 900), (1100, 1100)],
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[(1100, 1100), (1250, 1100)],
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[(1250, 1100), (1250, 900)],
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[(1250, 900), (1100, 900)],
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]
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width = 1500
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height = 1500
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def point_is_inside_arena(point):
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"""Return True if the point is inside the arena"""
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# cheat a little, the arena is a rectangle, with a cutout.
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# if the point is inside the rectangle, but not inside the cutout, it's inside the arena.
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# this is far simpler than any line intersection method.
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# is it inside the rectangle?
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if point[0] < 0 or point[0] > width \
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or point[1] < 0 or point[1] > height:
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return False
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# is it inside the cutout?
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if point[0] > 1000 and point[1] < 500:
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return False
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return True
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def point_is_inside_target_zone(point):
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"""Return True if the point is inside the target zone"""
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# cheat a little, the target zone is a rectangle.
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# if the point is inside the rectangle, it's inside the target zone.
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if point[0] < 1100 or point[0] > 1250 \
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or point[1] < 900 or point[1] > 1100:
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return False
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return True
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@@ -0,0 +1,73 @@
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import asyncio
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import json
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import random
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from ulab import numpy as np
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import arena
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import robot
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class Simulation:
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def __init__(self):
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population_size = 10
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self.poses = np.empty((population_size, 3), dtype=np.float)
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for n in range(population_size):
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self.poses[n] = random.uniform(0, arena.width), random.uniform(0, arena.height), random.uniform(0, 360)
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async def run(self):
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try:
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for _ in range(5):
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starting_heading = robot.imu.euler[0]
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encoder_left = robot.left_encoder.read()
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encoder_right = robot.right_encoder.read()
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robot.set_left(1)
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robot.set_right(0.5)
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await asyncio.sleep(0.1)
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left_movement = robot.left_encoder.read() - encoder_left
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right_movement = robot.right_encoder.read() - encoder_right
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speed_in_mm = robot.ticks_to_m * ((left_movement + right_movement) / 2) * 1000
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new_heading = robot.imu.euler[0]
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heading_change = starting_heading - new_heading
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for pose in self.poses:
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pose[2] += heading_change
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pose[2] = pose[2] % 360
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pose[0] += speed_in_mm * np.cos(np.radians(pose[2]))
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pose[1] += speed_in_mm * np.sin(np.radians(pose[2]))
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finally:
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robot.stop()
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async def command_handler(simulation):
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simulation_task = None
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while True:
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if robot.uart.in_waiting:
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print("Receiving data...")
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try:
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data = robot.uart.readline().decode()
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request = json.loads(data)
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except (UnicodeError, ValueError):
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print("Invalid data")
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continue
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# {"command": "arena"}
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if request["command"] == "arena":
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response = {
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"arena": arena.boundary_lines,
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"target_zone": arena.target_zone,
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}
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robot.uart.write((json.dumps(response)+"\n").encode())
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elif request["command"] == "start":
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print("Starting simulation")
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if simulation_task is None or simulation_task.done():
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simulation_task = asyncio.create_task(simulation.run())
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elif request["command"] == "stop":
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robot.stop()
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if simulation_task and not simulation_task.done():
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simulation_task.cancel()
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simulation_task = None
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else:
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response = {
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"poses": simulation.poses.tolist(),
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}
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robot.uart.write((json.dumps(response)+"\n").encode())
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await asyncio.sleep(0.1)
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simulation= Simulation()
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asyncio.run(command_handler(simulation))
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@@ -0,0 +1,27 @@
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class PIDController:
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def __init__(self, kp, ki, kd, d_filter_gain=0.1, imax=None, imin=None):
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self.kp = kp
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self.ki = ki
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self.kd = kd
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self.d_filter_gain = d_filter_gain
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self.imax = imax
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self.imin = imin
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self.reset()
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def reset(self):
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self.integral = 0
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self.error_prev = 0
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self.derivative = 0
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def calculate(self, error, dt):
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self.integral += error * dt
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if self.imax is not None and self.integral > self.imax:
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self.integral = self.imax
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if self.imin is not None and self.integral < self.imin:
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self.integral = self.imin
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# Add a low pass filter to the difference
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difference = (error - self.error_prev) * self.d_filter_gain
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self.error_prev += difference
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self.derivative = difference / dt
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return self.kp * error + self.ki * self.integral + self.kd * self.derivative
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@@ -0,0 +1,84 @@
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import rp2pio
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import adafruit_pioasm
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import array
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import asyncio
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program = """
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; use the osr for count
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; input pins c1 c2
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set y, 0 ; clear y
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mov osr, y ; and clear osr
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read:
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; x will be the old value
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; y the new values
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mov x, y ; store old Y in x
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in null, 32 ; Clear ISR - using y
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in pins, 2 ; read two pins into y
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mov y, isr
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jmp x!=y, different ; Jump if its different
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jmp read ; otherwise loop back to read
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different:
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; x has old value, y has new.
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; extract the upper bit of X.
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in x, 31 ; get bit 31 - old p1 (remember which direction it came in)
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in null, 31 ; keep only 1 bit
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mov x, isr ; put this back in x
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jmp !x, c1_old_zero
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c1_old_not_zero:
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jmp pin, count_up
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jmp count_down
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c1_old_zero:
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jmp pin, count_down
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; fall through
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count_up:
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; for a clockwise move - we'll add 1 by inverting
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mov x, ~ osr ; store inverted OSR on x
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jmp x--, fake ; use jump to take off 1
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fake:
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mov x, ~ x ; invert back
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jmp send
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count_down:
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; for a clockwise move, just take one off
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mov x, osr ; store osr in x
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jmp x--, send ; dec and send
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send:
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; send x.
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mov isr, x ; send it
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push noblock ; put ISR into input FIFO
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mov osr, x ; put X back in OSR
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jmp read ; loop back
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"""
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assembled = adafruit_pioasm.assemble(program)
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class QuadratureEncoder:
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def __init__(self, first_pin, second_pin, reversed=False):
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"""Encoder with 2 pins. Must use sequential pins on the board"""
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self.sm = rp2pio.StateMachine(
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assembled,
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frequency=0,
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first_in_pin=first_pin,
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jmp_pin=second_pin,
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in_pin_count=2,
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)
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self.reversed = reversed
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self._buffer = array.array("i", [0])
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asyncio.create_task(self.poll_loop())
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async def poll_loop(self):
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while True:
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await asyncio.sleep(0)
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while self.sm.in_waiting:
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self.sm.readinto(self._buffer)
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def read(self):
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if self.reversed:
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return -self._buffer[0]
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else:
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return self._buffer[0]
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@@ -0,0 +1,75 @@
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import board
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import pwmio
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import pio_encoder
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import busio
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import adafruit_vl53l1x
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import math
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import busio
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import adafruit_bno055
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uart = busio.UART(board.GP12, board.GP13, baudrate=9600)
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wheel_diameter_mm = 70
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wheel_circumference_mm = math.pi * wheel_diameter_mm
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gear_ratio = 298
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encoder_poles = 28
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ticks_per_revolution = encoder_poles * gear_ratio
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ticks_to_m = (wheel_circumference_mm / ticks_per_revolution) / 1000
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m_to_ticks = 1 / ticks_to_m
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motor_A2 = pwmio.PWMOut(board.GP17, frequency=100)
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motor_A1 = pwmio.PWMOut(board.GP16, frequency=100)
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motor_B2 = pwmio.PWMOut(board.GP18, frequency=100)
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motor_B1 = pwmio.PWMOut(board.GP19, frequency=100)
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right_motor = motor_A1, motor_A2
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left_motor = motor_B1, motor_B2
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right_encoder = pio_encoder.QuadratureEncoder(board.GP20, board.GP21)
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left_encoder = pio_encoder.QuadratureEncoder(board.GP26, board.GP27, reversed=True)
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i2c0 = busio.I2C(sda=board.GP0, scl=board.GP1)
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i2c1 = busio.I2C(sda=board.GP2, scl=board.GP3)
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left_distance = adafruit_vl53l1x.VL53L1X(i2c0)
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right_distance = adafruit_vl53l1x.VL53L1X(i2c1)
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imu = adafruit_bno055.BNO055_I2C(i2c0)
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imu.mode = adafruit_bno055.NDOF_MODE # should be in chapter 12!
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def stop():
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motor_A1.duty_cycle = 0
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motor_A2.duty_cycle = 0
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motor_B1.duty_cycle = 0
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motor_B2.duty_cycle = 0
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def set_speed(motor, speed):
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# Swap motor pins if we reverse the speed
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if abs(speed) < 0.1:
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motor[0].duty_cycle = 0
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motor[1].duty_cycle = 1
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return
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if speed < 0:
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direction = motor[1], motor[0]
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speed = -speed
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else:
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direction = motor
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speed = min(speed, 1) # limit to 1.0
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max_speed = 2 ** 16 - 1
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direction[0].duty_cycle = int(max_speed * speed)
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direction[1].duty_cycle = 0
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def set_left(speed):
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set_speed(left_motor, speed)
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def set_right(speed):
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set_speed(right_motor, speed)
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def check_imu_status():
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sys_status, gyro, accel, mag = imu.calibration_status
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uart.write(f"Sys: {sys_status}, Gyro: {gyro}, Accel: {accel}, Mag: {mag}\n".encode())
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return sys_status == 3
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