def test_robot_mov(room, robots, min_coverage):
viz = pv.RobotVisualization(len(robots), room.width, room.height, delay=0.01)
while (room.getNumCleanedTiles() / float(room.getNumTiles())) < min_coverage:
for r in robots:
r.updatePositionAndClean()
viz.update(room, robots)
viz.done()
def runSimulation(num_robots, speed, width, height, min_coverage, num_trials,
robot_type):
"""
Runs NUM_TRIALS trials of the simulation and returns the mean number of
time-steps needed to clean the fraction MIN_COVERAGE of the room.
The simulation is run with NUM_ROBOTS robots of type ROBOT_TYPE, each with
speed SPEED, in a room of dimensions WIDTH x HEIGHT.
num_robots: an int (num_robots > 0)
speed: a float (speed > 0)
width: an int (width > 0)
height: an int (height > 0)
min_coverage: a float (0 <= min_coverage <= 1.0)
num_trials: an int (num_trials > 0)
robot_type: class of robot to be instantiated (e.g. StandardRobot or
RandomWalkRobot)
"""
anim = ps7_visualize.RobotVisualization(num_robots, width, height)
trial_ls = []
for t in range(num_trials):
room = RectangularRoom(width, height)
time = 0.0
robot_ls = {}
for r in range(num_robots):
robot_ls[r] = robot_type(room, speed)
while float(room.getNumCleanedTiles()) / float(
room.getNumTiles()) < min_coverage:
anim.update(room, robot_ls.values())
for bot in robot_ls.values():
bot.updatePositionAndClean()
time += 1.0
trial_ls.append(time)
anim.done()
return sum(trial_ls) / num_trials
def runSimulation(num_robots, speed, width, height, min_coverage, num_trials,
robot_type):
"""
Runs NUM_TRIALS trials of the simulation and returns the mean number of
time-steps needed to clean the fraction MIN_COVERAGE of the room.
The simulation is run with NUM_ROBOTS robots of type ROBOT_TYPE, each with
speed SPEED, in a room of dimensions WIDTH x HEIGHT.
num_robots: an int (num_robots > 0)
speed: a float (speed > 0)
width: an int (width > 0)
height: an int (height > 0)
min_coverage: a float (0 <= min_coverage <= 1.0)
num_trials: an int (num_trials > 0)
robot_type: class of robot to be instantiated (e.g. StandardRobot or
RandomWalkRobot)
"""
assert num_robots>0 and speed>0 and width>0 and height>0 and num_trials>0 \
and min_coverage<=1.0 and min_coverage>=0, "Wrong value of argument"
counter = [0 for i in range(num_trials)]
for num in range(num_trials):
anim = ps7_visualize.RobotVisualization(
num_robots,
width,
height,
) #VISUALIZE 1
room = RectangularRoom(width,
height) #instantiation of RectangularRoom
robots = [robot_type(room, speed) for i in range(num_robots)]
while room.getNumCleanedTiles() / float(
room.getNumTiles()) < min_coverage:
for r in range(num_robots):
anim.update(room, robots) #VISUALIZE 2
robots[r].updatePositionAndClean()
counter[num] += 1
if room.getNumCleanedTiles() / float(
room.getNumTiles()) == min_coverage:
break
anim.done() #VISUALIZE 3
total_moves = 0
for moves in counter:
total_moves += moves
mean_number = total_moves / float(num_trials)
return mean_number
def runSimulation(num_robots,
speed,
width,
height,
min_coverage,
num_trials,
robot_type,
animate=False,
delay=0.2):
"""
Runs NUM_TRIALS trials of the simulation and returns the mean number of
time-steps needed to clean the fraction MIN_COVERAGE of the room.
The simulation is run with NUM_ROBOTS robots of type ROBOT_TYPE, each with
speed SPEED, in a room of dimensions WIDTH x HEIGHT.
num_robots: an int (num_robots > 0)
speed: a float (speed > 0)
width: an int (width > 0)
height: an int (height > 0)
min_coverage: a float (0 <= min_coverage <= 1.0)
num_trials: an int (num_trials > 0)
robot_type: class of robot to be instantiated (e.g. StandardRobot or
RandomWalkRobot)
"""
stats = []
for current_run in range(num_trials):
if animate:
anim = ps7_visualize.RobotVisualization(num_robots,
width,
height,
delay=delay)
the_room = RectangularRoom(width, height)
clean_needed = math.ceil(min_coverage * the_room.getNumTiles())
the_robots = [
robot_type(speed=speed, room=the_room) for _ in range(num_robots)
]
count = 0.0
while the_room.getNumCleanedTiles() < clean_needed:
for robot in the_robots:
robot.updatePositionAndClean()
if animate: anim.update(the_room, the_robots)
count += 1
if animate: anim.done()
stats.append(count)
animate = False
#print stats
return sum(stats) / num_trials
def runSimulation(num_robots, speed, width, height, min_coverage, num_trials,
robot_type):
"""
Runs NUM_TRIALS trials of the simulation and returns the mean number of
time-steps needed to clean the fraction MIN_COVERAGE of the room.
The simulation is run with NUM_ROBOTS robots of type ROBOT_TYPE, each with
speed SPEED, in a room of dimensions WIDTH x HEIGHT.
num_robots: an int (num_robots > 0)
speed: a float (speed > 0)
width: an int (width > 0)
height: an int (height > 0)
min_coverage: a float (0 <= min_coverage <= 1.0)
num_trials: an int (num_trials > 0)
robot_type: class of robot to be instantiated (e.g. StandardRobot or
RandomWalkRobot)
"""
anim = ps7_visualize.RobotVisualization(num_robots, width, height)
time_steps = []
for trials in range(num_trials):
time_step = 0
# Initialize room
room = RectangularRoom(width, height)
#initialize robot given room and speed
robots = [robot_type(room, speed) for robot in range(num_robots)]
while room.getNumCleanedTiles() / float(
room.getNumTiles()) < min_coverage:
anim.update(room, robots)
for robot in robots:
robot.updatePositionAndClean()
time_step += 1
if room.getNumCleanedTiles() / float(room.getNumTiles(
)) == min_coverage: # in case of min_coverage = 100%
break
time_steps.append(time_step)
anim.done()
return sum(time_steps) / float(len(time_steps))
def singleSimulation(num_robots,
speed,
width,
height,
min_coverage,
robot_type,
visualize=False,
sleep=0.2):
room = RectangularRoom(width, height)
robots = [robot_type(room, speed) for x in xrange(num_robots)]
if True == visualize:
anim = ps7_visualize.RobotVisualization(num_robots, width, height,
sleep)
steps = 0
while room.getNumCleanedTiles() < min_coverage * room.getNumTiles():
steps += 1
for r in robots:
r.updatePositionAndClean()
if True == visualize:
anim.update(room, robots)
if True == visualize:
anim.done()
return steps
def runSimulation(num_robots, speed, width, height, min_coverage, num_trials,
robot_type):
"""
Runs NUM_TRIALS trials of the simulation and returns the mean number of
time-steps needed to clean the fraction MIN_COVERAGE of the room.
The simulation is run with NUM_ROBOTS robots of type ROBOT_TYPE, each with
speed SPEED, in a room of dimensions WIDTH x HEIGHT.
num_robots: an int (num_robots > 0)
speed: a float (speed > 0)
width: an int (width > 0)
height: an int (height > 0)
min_coverage: a float (0 <= min_coverage <= 1.0)
num_trials: an int (num_trials > 0)
robot_type: class of robot to be instantiated (e.g. StandardRobot or
RandomWalkRobot)
"""
anim = True
steps = 0
for _ in range(num_trials):
robots = []
room = RectangularRoom(width, height)
for _ in range(num_robots):
robots.append(robot_type(room, speed))
total_tiles = float(room.getNumTiles())
if anim:
anim = ps7_visualize.RobotVisualization(num_robots, width, height)
while room.getNumCleanedTiles() / total_tiles < min_coverage:
steps += 1
for r in robots:
if anim:
anim.update(room, robots)
r.updatePositionAndClean()
if anim:
anim.done()
return steps / float(num_trials)
