# add a radar sensor
robot_id = robot_params['id']
sim.add_sensor(robot_id, sensor_params)
readings = sim.read_sensors()
# Initialize player model for control input
p = Player_vi(all_params, sim.get_occupied())
# Initialize View
if GUI_ON:
rstate = sim.get_state()
bstate = p.get_bstate()
v = View()
v.update_all(rstate, bstate)
# Main simulation loop
rstate = None
iters = 0
start_time = time.time()
for i in range(MAX_STEPS):
iters += 1
reading = sim.read_sensors()[robot_id]
p.update_belief(reading)
p_act = p.get_action(reading)
#p_act = action_seq[i]
sim.add_action(p_act, robot_id)
sim.update_turn()
#from model.world_model.gen_maze import gen_terrain_dfs
#from model.world_model.Maze import Maze
from model.Simulation import Simulation
from view.render2d import View
#import matplotlib.pyplot as plt
#import numpy as np
sim_params = {'world_type':'maze',
'world_length':100,
'world_width':100,
'robot_length':2,
'robot_stochastic':False,
'radar_radius':8,}
robot_id = 1
v = View()
sim = Simulation(sim_params)
state = sim.get_state()
v.update_rstate(state)
sim.add_robot('car',robot_id)
state = sim.get_state()
v.update_rstate(state)
sim.add_sensor(robot_id, 'radar')
readings = sim.read_sensors()
print readings
raw_input('pause : press any key to finish...')
