Updated Sturcture
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Color_Sorting/Program/Python_Obstical_sorter.py
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Color_Sorting/Program/Python_Obstical_sorter.py
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#!/usr/bin/env python3
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from time import sleep
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from ev3dev2.motor import Motor, MoveTank, SpeedPercent, OUTPUT_A, OUTPUT_B, OUTPUT_C, OUTPUT_D
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from ev3dev2.sensor import INPUT_2,INPUT_3,INPUT_4
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from ev3dev2.sensor.lego import ColorSensor, UltrasonicSensor, GyroSensor
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from ev3dev2.led import Leds
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from pixycamev3.pixy2 import Pixy2
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# Define all inputs and outputs of the Robot
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# Camera and sensors are inputs
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us = UltrasonicSensor(INPUT_2)
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cs = ColorSensor(INPUT_3)
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gyro = GyroSensor(INPUT_4)
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pixy2 = Pixy2(port=1, i2c_address=0x54)
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# Motors are outputs
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m_left = Motor(OUTPUT_A)
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m_right = Motor(OUTPUT_D)
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tank = MoveTank(OUTPUT_A, OUTPUT_D) # Also define drive tank
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leds = Leds()
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# The motor is initialized to run counter-clockwise (gegen den Uhrzeigersinn)
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m_right.polarity = 'inversed' # use 'normal' to initialize it to run clockwise (im Uhrzeigersinn)
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m_left.polarity = 'inversed'
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# Defined inputs for the given experiment / enviroment
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orange = 1 # Signatur of orange dice
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green = 2 # Signatur of green dice
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fast = 30 # driving speed
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slow = 10 # searching speed
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# initalization state defined
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state = 1 # Initiate search state for beginning
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last_state = 1 # Variable for saving last state
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i = 0 # conrol variable
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gyro.reset() # reset gyro sensor
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# Define class/state search
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def search ():
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global state
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global last_state
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global gyro
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j=0 # control variable
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# turn slowly aroud on place and search for blocks,
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# if nothing is found change searchplace
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leds.set_color("LEFT", "BLACK")
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leds.set_color("RIGHT", "BLACK")
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# turn on place to the right
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m_right.on(SpeedPercent(-slow))
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m_left.on(SpeedPercent(slow))
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# search for blocks
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nr_orange, o_block = pixy2.get_blocks(orange, 2)
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nr_green, g_block = pixy2.get_blocks(green, 2)
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if cs.reflected_light_intensity < 15: # if outline is reached change state to edge
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last_state = state
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state = 5
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elif us.distance_centimeters < 10: # if a block is currently in the arms change to sort
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last_state = state
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state = 3
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elif nr_orange > 0: # when orange block is found then change to get
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last_state = state
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state = 2
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elif nr_green > 0: # when green block is found then change to avoid
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last_state = state
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state = 4
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elif gyro.angle > 720: # when the robot does not find a block drive a little bit forward
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while cs.reflected_light_intensity > 8 and j <= 5:
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tank.on(fast,fast)
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sleep(0.2)
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j+=1
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gyro.reset()
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j=0 # Reset control variable
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# Define class/state get
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def get ():
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global state
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global last_state
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global i
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# drive twoards block and get it into arms
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leds.set_color("LEFT", "ORANGE")
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leds.set_color("RIGHT", "BLACK")
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# drive straight ahead
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tank.on(fast,fast)
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# find the orange block again
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nr_orange, o_block = pixy2.get_blocks(orange, 2)
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if nr_orange > 0: # if block is found again get position
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x = o_block[0].x_center #get where in the field of vision the block lays
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i= 0
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else: # when block is not found, virtually place the robot in the middle of the vision
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x = 130
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i +=1
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if 4 <= i < 6: # camera has not found block for 4 cycles
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tank.on_for_seconds(-fast,-fast,0.4) # drive backwards max. 2 times
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elif 6 == i: # if block is not fond drive a little bit to left
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m_right.on(SpeedPercent(slow))
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m_left.on(SpeedPercent(-slow))
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sleep(0.2)
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elif i > 6: # when block is still not found go back to search
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i = 0
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state = 1
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gyro.reset()
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# Decide what robot should do with the gathered information
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if us.distance_centimeters <= 12: # block is in the arms of robot change to sort
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last_state = state
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state = 3 # when block distance is small switch state
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else: # correct drive direction to get block into arms
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# when block on left side drive more left
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if x < 110: # turn left
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m_right.on(SpeedPercent(slow))
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m_left.on(SpeedPercent(-slow))
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# when block on right side drive more right
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elif x > 150: # turn right
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m_right.on(SpeedPercent(-slow))
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m_left.on(SpeedPercent(slow))
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if cs.reflected_light_intensity < 15: # robot detected line change to edge
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last_state = state
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state = 5 # When colorsensor detects line then switch state
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# Define class/state sort
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def sort ():
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global state
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global last_state
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# block is caught, drive to the edge
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leds.set_color("LEFT", "ORANGE")
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leds.set_color("RIGHT", "ORANGE")
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# drive straight ahead
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tank.on(fast,fast)
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# search for green blocks
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nr_green, g_block = pixy2.get_blocks(green, 2)
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if cs.reflected_light_intensity < 15: # when reached line change to edge
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last_state = state
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state = 5
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elif nr_green > 0:
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last_state = state
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state = 4
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# Define class/state avoid
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def avoid ():
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global state
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global last_state
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# found green block, do not want to kick it out
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leds.set_color("LEFT", "GREEN")
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leds.set_color("RIGHT", "GREEN")
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# search for green block again
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nr_green, g_block = pixy2.get_blocks(green, 2)
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if nr_green > 0: # if block is found again get position
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x = g_block[0].x_center # get where in the field of vision the block lays
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else: # when block is not found, virtually place the robot in the middle of the vision
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x = 130
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# When block lays in middle of the vision drive around it
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if 100 < x < 150:
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m_right.on(SpeedPercent(-fast))
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m_left.on(SpeedPercent(fast))
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sleep(0.2)
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state = last_state
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last_state = 4
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# Define class/state edge
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def edge ():
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global state
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global last_state
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global gyro
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# robot reached outerline and should turn around
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leds.set_color("LEFT", "BLACK")
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leds.set_color("RIGHT", "RED")
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gyro.reset() # reset gyro sensor
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# drive straight backwards
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tank.on_for_rotations(-fast,-fast,2)
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while gyro.angle < 100: #turn around for 100 degrees
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m_right.on(SpeedPercent(-fast))
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m_left.on(SpeedPercent(fast))
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state = 1
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gyro.reset() # reset gyro sensor again
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print('start')
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while True: # endless-loop for switching states
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state_switch= { # dictionary of the states/classes
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1: search,
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2: get,
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3: sort,
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4: avoid,
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5: edge
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}
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func = state_switch.get(state) # function that gets state
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func() # activate current state
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sleep(0.3) # wait for 0.3 seconds between the different states
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