def next_move(hunter_position,
hunter_heading,
target_measurement,
max_distance,
OTHER=None):
# This function will be called after each time the target moves.
turning = 0
distance = 0
N = 4 # Count until hunter locks current heading (target) pos. Adjust as needed
d = distance_between(hunter_position, target_measurement)
tbot_next_xy, OTHER = estimate_next_pos(target_measurement, OTHER)
if len(OTHER) < 6:
OTHER.append([0, []]) # [lock_count,[lock_pos]]
hunter_d = distance_between(tbot_next_xy, hunter_position)
turning = get_bearing(tbot_next_xy, hunter_position, hunter_heading)
distance = max_distance
else:
if OTHER[5][
0] > 0: # caveat, update the same lock target as per current traxbot pos
OTHER[5][0] -= 1
N = OTHER[5][0]
else: # Lock a target (N steps ahead of traxbot's current pos)
OTHER[5][0] = N
# Calculate hunter's next lock pos. (where it needs to head for the next lock_count, N)
temp = deepcopy(OTHER)
tbot_sim_xy = tbot_next_xy
# Simulate traxbot moves
for i in range(N): # Adjust this as required
tbot_sim_xy, temp = estimate_next_pos(tbot_sim_xy, temp)
hunter_d = distance_between(tbot_sim_xy, hunter_position)
turning = get_bearing(tbot_sim_xy, hunter_position, hunter_heading)
distance = min(hunter_d, max_distance)
if hunter_d < 2:
print '%s : %s' % (
str(hunter_d),
str(distance_between(target_measurement, hunter_position)))
# The OTHER variable is a place for you to store any historical information about
# the progress of the hunt (or maybe some localization information). Your return format
# must be as follows in order to be graded properly.
return turning, distance, OTHER
def next_move(hunter_position, hunter_heading, target_measurement, max_distance, OTHER = None):
# This function will be called after each time the target moves.
turning = 0
distance = 0
N = 4 # Count until hunter locks current heading (target) pos. Adjust as needed
d = distance_between(hunter_position, target_measurement)
tbot_next_xy, OTHER = estimate_next_pos(target_measurement, OTHER)
if len(OTHER) < 6:
OTHER.append([0,[]]) # [lock_count,[lock_pos]]
hunter_d = distance_between(tbot_next_xy, hunter_position)
turning = get_bearing(tbot_next_xy, hunter_position, hunter_heading)
distance = max_distance
else:
if OTHER[5][0] > 0: # caveat, update the same lock target as per current traxbot pos
OTHER[5][0] -= 1
N = OTHER[5][0]
else: # Lock a target (N steps ahead of traxbot's current pos)
OTHER[5][0] = N
# Calculate hunter's next lock pos. (where it needs to head for the next lock_count, N)
temp = deepcopy(OTHER)
tbot_sim_xy = tbot_next_xy
# Simulate traxbot moves
for i in range(N): # Adjust this as required
tbot_sim_xy, temp = estimate_next_pos(tbot_sim_xy, temp)
hunter_d = distance_between(tbot_sim_xy, hunter_position)
turning = get_bearing(tbot_sim_xy, hunter_position, hunter_heading)
distance = min(hunter_d, max_distance)
if hunter_d < 2:
print '%s : %s' % (str(hunter_d), str(distance_between(target_measurement, hunter_position)))
# The OTHER variable is a place for you to store any historical information about
# the progress of the hunt (or maybe some localization information). Your return format
# must be as follows in order to be graded properly.
return turning, distance, OTHER
def next_move(hunter_position, hunter_heading, target_measurement, max_distance, OTHER = None):
# This function will be called after each time the target moves.
'''ALGO:
- Predict TraxBot's next pos.
- Calculate hunter's distance and bearing.
- Turn by bearing and move by min(distance, max_distance)'''
turning = 0
distance = 0
tbot_next_xy, OTHER = estimate_next_pos(target_measurement, OTHER)
hunter_d = distance_between(tbot_next_xy, hunter_position)
turning = get_bearing(tbot_next_xy, hunter_position, hunter_heading)
distance = min(hunter_d, max_distance)
# The OTHER variable is a place for you to store any historical information about
# the progress of the hunt (or maybe some localization information). Your return format
# must be as follows in order to be graded properly.
return turning, distance, OTHER
def next_move(hunter_position,
hunter_heading,
target_measurement,
max_distance,
OTHER=None):
# This function will be called after each time the target moves.
'''ALGO:
- Predict TraxBot's next pos.
- Calculate hunter's distance and bearing.
- Turn by bearing and move by min(distance, max_distance)'''
turning = 0
distance = 0
tbot_next_xy, OTHER = estimate_next_pos(target_measurement, OTHER)
hunter_d = distance_between(tbot_next_xy, hunter_position)
turning = get_bearing(tbot_next_xy, hunter_position, hunter_heading)
distance = min(hunter_d, max_distance)
# The OTHER variable is a place for you to store any historical information about
# the progress of the hunt (or maybe some localization information). Your return format
# must be as follows in order to be graded properly.
return turning, distance, OTHER
