RoboWaiter/robowaiter/algos/navigator/test.py

import os
import pickle

import matplotlib.pyplot as plt
import numpy as np

from robowaiter.scene import scene
from robowaiter.algos.navigator.navigate import Navigator




if __name__ == '__main__':

    # 选择缩放合适的地图：3、4、5
    file_name = 'map_4.pkl'
    if os.path.exists(file_name):
        with open(file_name, 'rb') as file:
            map = pickle.load(file)

    scene.init_world(1, 11)
    scene = scene.Scene(sceneID=0)

    navigator = Navigator(scene=scene, area_range=[-350, 600, -400, 1450], map=map, scale_ratio=4)

    '''场景1: 无行人环境 robot到达指定目标'''
    # goal = (-100, 700)
    # goal = (590, 1370)
    # goal = (290, -240)
    # goal = (-200, -200)
    # goal = (-200, -50)

    '''场景2: 静止行人环境 robot到达指定目标'''
    # scene.clean_walker()
    # scene.add_walker(50, 300, 0)
    # scene.add_walker(-50, 500, 0)
    # goal = (-100, 700)

    '''场景3: 移动行人环境 robot到达指定目标'''
    scene.walk_to(100, 0, -90, dis_limit=5)
    scene.clean_walker()
    scene.add_walkers([[50, 300], [-50, 500], [0, 700]])
    # scene.add_walker(50, 300, 0)
    # scene.add_walker(-50, 500, 0)
    # scene.add_walker(0, 700, 0)
    scene.control_walker([scene.walker_control_generator(walkerID=0, autowalk=False, speed=50, X=-50, Y=600, Yaw=0)])
    scene.control_walker([scene.walker_control_generator(walkerID=1, autowalk=False, speed=50, X=100, Y=150, Yaw=0)])
    scene.control_walker([scene.walker_control_generator(walkerID=2, autowalk=False, speed=50, X=0, Y=0, Yaw=0)])

    # goal = (-100, 700)
    # goal = (-200, 700)  # 目标在障碍物测试
    # goal = (-400, 700)  # 目标在地图外测试
    goal = (10000, 10000)  # 目标在地图外测试
    # goal = (-220, 300)
    # goal = (-280, 400)
    # goal = (-230, 600)


    '''场景4: 行人自由移动 robot到达指定目标'''
    # # TODO: autowalk=True仿真器会闪退 ???
    # scene.clean_walker()
    # scene.add_walker(50, 300, 0)
    # scene.add_walker(-50, 500, 0)
    # scene.control_walker([scene.walker_control_generator(walkerID=0, autowalk=True, speed=20, X=0, Y=0, Yaw=0)])
    # scene.control_walker([scene.walker_control_generator(walkerID=1, autowalk=True, speed=20, X=0, Y=0, Yaw=0)])
    # time.sleep(5)
    # goal = (-100, 700)

    navigator.navigate(goal, animation=True)

    scene.clean_walker()
    print(scene.status.collision)  # TODO: 不显示碰撞信息 ???