import pickle import sys import time import grpc import numpy as np import matplotlib.pyplot as plt from robowaiter.proto import camera from robowaiter.proto import semantic_map import math from robowaiter.proto import GrabSim_pb2 from robowaiter.proto import GrabSim_pb2_grpc import os from robowaiter.utils import get_root_path root_path = get_root_path() channel = grpc.insecure_channel( "localhost:30001", options=[ ("grpc.max_send_message_length", 1024 * 1024 * 1024), ("grpc.max_receive_message_length", 1024 * 1024 * 1024), ], ) stub = GrabSim_pb2_grpc.GrabSimStub(channel) animation_step = [4, 5, 7, 3, 3] loc_offset = [-700, -1400] def init_world(scene_num=1, mapID=11): stub.SetWorld(GrabSim_pb2.BatchMap(count=scene_num, mapID=mapID)) time.sleep(3) # wait for the map to load def show_image(camera_data): print('------------------show_image----------------------') #获取第0张照片 im = camera_data.images[0] #使用numpy(np) 数值类型矩阵的frombuffer，将im.data以流的形式（向量的形式）读入，在变型reshape成三位矩阵的形式(长度，宽度，深度)即三阶张量 d = np.frombuffer(im.data, dtype=im.dtype).reshape((im.height, im.width, im.channels)) #matplotlib中的plt方法 对矩阵d 进行图形绘制，如果 深度相机拍摄的带深度的图片（图片名字中有depth信息），则转换成黑白图即灰度图 plt.imshow(d, cmap="gray" if "depth" in im.name.lower() else None) #图像展示在屏幕上 plt.show() return d class Scene: robot = None event_list = [] show_bubble = False default_state = { "map": { "2d": None, "obj_pos": {} }, "chat_list": [], # 未处理的顾客的对话, (顾客的位置,顾客对话的内容) "sub_goal_list": [], # 子目标列表 "status": None, # 仿真器中的观测信息，见下方详细解释 "condition_set": {'At(Robot,Bar)', 'Is(AC,Off)', 'Holding(Nothing)','Exist(Yogurt)','Exist(BottledDrink)','On(Yogurt,Bar)','On(BottledDrink,Table1)', 'Is(HallLight,Off)', 'Is(TubeLight,On)', 'Is(Curtain,On)', 'Is(Table1,Dirty)', 'Is(Floor,Dirty)', 'Is(Chairs,Dirty)'} } """ status: location: Dict[X: float, Y: float] rotation: Dict[Yaw: float] joints: List[Dict[name: str, location: Dict[X: float, Y: float, Z: float]]] fingers: List[Dict[name: str, location: List[3 * Dict[X: float, Y: float, Z: float]]]] objects[:-1]: List[Dict[name: str, location: Dict[X: float, Y: float, Z: float]]] objects[-1]: Dict[name: "Hand", boxes: List[Dict[diagonals: List[4 * Dict[X0: float, Y0: float, Z0: float, X1: float, Y1: float, Z1: float]]]]] walkers: List[name: str, pose: Dict[X: float, Y: float, Yaw: float], speed: float, target: Dict[X: float, Y: float, Yaw: float]] timestamp: int, timestep: int collision: str, info: str """ def __init__(self,robot=None, sceneID=0): self.sceneID = sceneID self.use_offset = False self.start_time = time.time() self.time = 0 self.sub_task_seq = None # init robot if robot: robot.set_scene(self) robot.load_BT() self.robot = robot # myx op # 1-7 正常执行, 8-10 控灯操作移动到6, 11-12窗帘操作不需要移动, self.op_dialog = ["","制作咖啡","倒水","夹点心","拖地","擦桌子","开筒灯","搬椅子", # 1-7 "关筒灯","开大厅灯","关大厅灯","关闭窗帘","打开窗帘", # 8-12 "调整空调开关","调高空调温度","调低空调温度", # 13-15 "抓握物体","放置物体"] # 16-17 self.op_act_num = [0,3,4,6,3,2,0,1, 0,0,0,0,0, 0,0,0, 0,0] self.op_v_list = [[0.0,0.0],[250.0, 310.0],[-70.0, 480.0],[250.0, 630.0],[-70.0, 740.0],[260.0, 1120.0],[300.0, -220.0], [0.0, -70.0]] self.op_typeToAct = {8:[6,2],9:[6,3],10:[6,4],11:[8,1],12:[8,2]} # 空调面板位置 self.obj_loc = [300.5, -140.0,114] # AEM self.visited = set() self.all_frontier_list = set() self.semantic_map = semantic_map self.auto_map = np.ones((800, 1550)) self.filename = os.path.join(root_path, 'robowaiter/proto/map_1.pkl') with open(self.filename, 'rb') as file: self.map_file = pickle.load(file) def reset(self): # 基类reset，默认执行仿真器初始化操作 self.reset_sim() # reset state self.state = self.default_state print("场景初始化完成") self._reset() self.running = True def run(self): # 基类run self._run() # 运行并由robot打印每步信息 while True: self.step() def step(self): # 基类step，默认执行行为树tick操作 self.time = time.time() - self.start_time self.deal_event() self._step() self.robot.step() def deal_event(self): if len(self.event_list)>0: next_event = self.event_list[0] t,func = next_event if self.time >= t: print(f'event: {t}, {func.__name__}') self.event_list.pop(0) func() def create_chat_event(self,sentence): def customer_say(): print(f'{sentence}') if self.show_bubble: self.chat_bubble(f'{sentence}') self.state['chat_list'].append(f'{sentence}') return customer_say def set_goal(self,goal): g = eval("{'" + goal + "'}") def set_sub_task(): self.state['chat_list'].append(g) return set_sub_task @property def status(self): return stub.Observe(GrabSim_pb2.SceneID(value=self.sceneID)) def reset_sim(self): # reset world stub.CleanWalkers(GrabSim_pb2.SceneID(value=self.sceneID)) init_world() stub.Reset(GrabSim_pb2.ResetParams(scene=self.sceneID)) def _reset(self): # 场景自定义的reset pass def _run(self): # 场景自定义的run pass def _step(self): # 场景自定义的step pass def walker_control_generator(self, walkerID, autowalk, speed, X, Y, Yaw): if self.use_offset: X, Y = X + loc_offset[0], Y + loc_offset[1] return GrabSim_pb2.WalkerControls.WControl( id=walkerID, autowalk=autowalk, speed=speed, pose=GrabSim_pb2.Pose(X=X, Y=Y, Yaw=Yaw), ) def walk_to(self, X, Y, Yaw=100, velocity=200, dis_limit=0): walk_v = [X,Y,Yaw,velocity,dis_limit] action = GrabSim_pb2.Action( scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.WalkTo, values=walk_v ) scene = stub.Do(action) return scene def reachable_check(self, X, Y, Yaw): if self.use_offset: X, Y = X + loc_offset[0], Y + loc_offset[1] navigation_info = stub.Do( GrabSim_pb2.Action( scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.WalkTo, values=[X, Y, Yaw], ) ).info if navigation_info == "Unreachable": return False else: return True def add_walker(self,id,x,y,yaw=0,v=0,scope=100): loc = [x,y,yaw,v,scope] action = GrabSim_pb2.Action(scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.WalkTo, values=loc) scene = stub.Do(action) # print(scene.info) walker_list=[] if (str(scene.info).find('unreachable') > -1): print('当前位置不可达,无法初始化NPC') else: walker_list.append( GrabSim_pb2.WalkerList.Walker(id=id+5, pose=GrabSim_pb2.Pose(X=loc[0], Y=loc[1], Yaw=loc[2]))) stub.AddWalker(GrabSim_pb2.WalkerList(walkers=walker_list, scene=self.sceneID)) def add_walkers(self,walker_loc=[[0, 880], [250, 1200], [-55, 750], [70, -200]]): print('------------------add_walkers----------------------') for id,walker in enumerate(walker_loc): if len(walker)==2: self.add_walker(id,walker[0],walker[1]) elif len(walker)==3: self.add_walker(id, walker[0], walker[1],walker[2]) elif len(walker) == 4: self.add_walker(id, walker[0], walker[1], walker[2], walker[3]) elif len(walker) == 5: self.add_walker(id, walker[0], walker[1], walker[2], walker[3], walker[4]) def remove_walker(self, *args): # take single walkerID or a list of walkerIDs remove_list = [] if isinstance(args[0], list): remove_list = args[0] else: for walkerID in args: # walkerID is the index of the walker in status.walkers. # Since status.walkers is a list, some walkerIDs would change after removing a walker. remove_list.append(walkerID) stub.RemoveWalkers(GrabSim_pb2.RemoveList(IDs=remove_list, scene=self.sceneID)) def clean_walker(self): stub.CleanWalkers(GrabSim_pb2.SceneID(value=self.sceneID)) def control_walker(self, control_list): stub.ControlWalkers( GrabSim_pb2.WalkerControls(controls=control_list, scene=self.sceneID) ) def control_walkers(self,walker_loc=[[-55, 750], [70, -200], [250, 1200], [0, 880]],is_autowalk = True): """pose:表示行人的终止位置姿态""" scene = self.status walker_loc = walker_loc controls = [] for i in range(len(walker_loc)): loc = walker_loc[i] is_autowalk = is_autowalk pose = GrabSim_pb2.Pose(X=loc[0], Y=loc[1], Yaw=180) controls.append(GrabSim_pb2.WalkerControls.WControl(id=i, autowalk=is_autowalk, speed=80, pose=pose)) scene = stub.ControlWalkers(GrabSim_pb2.WalkerControls(controls=controls, scene=self.sceneID)) def control_joints(self, angles): stub.Do( GrabSim_pb2.Action( scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.RotateJoints, values=angles, ) ) def add_object(self, type, X, Y, Z, Yaw=0): if self.use_offset: X, Y = X + loc_offset[0], Y + loc_offset[1] stub.AddObjects( GrabSim_pb2.ObjectList( objects=[ GrabSim_pb2.ObjectList.Object(x=X, y=Y, yaw=Yaw, z=Z, type=type) ], scene=self.sceneID, ) ) def remove_object(self, *args): # refer to remove_walker remove_list = [] if isinstance(args[0], list): remove_list = args[0] else: for objectID in args: remove_list.append(objectID) stub.RemoveObjects(GrabSim_pb2.RemoveList(IDs=remove_list, scene=self.sceneID)) def clean_object(self): stub.CleanObjects(GrabSim_pb2.SceneID(value=self.sceneID)) def grasp(self, handID, objectID): stub.Do( GrabSim_pb2.Action( scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.Grasp, values=[handID, objectID], ) ) def release(self, handID): stub.Do( GrabSim_pb2.Action( scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.Release, values=[handID], ) ) def get_camera_color(self, image_only=True): camera_data = stub.Capture( GrabSim_pb2.CameraList( cameras=[GrabSim_pb2.CameraName.Head_Color], scene=self.sceneID ) ) if image_only: return show_image(camera_data) else: return camera_data def get_camera_depth(self, image_only=True): camera_data = stub.Capture( GrabSim_pb2.CameraList( cameras=[GrabSim_pb2.CameraName.Head_Depth], scene=self.sceneID ) ) if image_only: return show_image(camera_data) else: return camera_data def get_camera_segment(self, show=True): camera_data = stub.Capture( GrabSim_pb2.CameraList( cameras=[GrabSim_pb2.CameraName.Head_Segment], scene=self.sceneID ) ) if show: show_image(camera_data) return camera_data def chat_bubble(self, message): stub.ControlRobot( GrabSim_pb2.ControlInfo( scene=self.sceneID, type=0, action=1, content=message ) ) # def walker_bubble(self, message): # status = self.status # walker_name = status.walkers[0].name # talk_content = walker_name + ":" + message # self.control_robot_action(0, 0, 3, talk_content) # def control_robot_action(self, scene_id=0, type=0, action=0, message="你好"): # print('------------------control_robot_action----------------------') # scene = stub.ControlRobot( # GrabSim_pb2.ControlInfo(scene=scene_id, type=type, action=action, content=message)) # if (str(scene.info).find("Action Success") > -1): # print(scene.info) # return True # else: # print(scene.info) # return False def animation_control(self, animation_type): # animation_type: 1:make coffee 2: pour water 3: grab food 4: mop floor 5: clean table scene = stub.ControlRobot( GrabSim_pb2.ControlInfo(scene=self.sceneID, type=animation_type, action=1) ) if scene.info == "action success": for i in range(2, animation_step[animation_type - 1] + 1): stub.ControlRobot( GrabSim_pb2.ControlInfo( scene=self.sceneID, type=animation_type, action=i ) ) def animation_reset(self): stub.ControlRobot(GrabSim_pb2.ControlInfo(scene=self.sceneID, type=0, action=0)) # 手指移动到指定位置 def ik_control_joints(self, handNum=2, x=30, y=40, z=80): # print('------------------ik_control_joints----------------------') # IK控制,双手, 1左手, 2右手; 暂时只动右手 HandPostureObject = [GrabSim_pb2.HandPostureInfos.HandPostureObject(handNum=handNum, x=x, y=y, z=z, roll=0, pitch=0, yaw=0), # GrabSim_pb2.HandPostureInfos.HandPostureObject(handNum=1, x=0, y=0, z=0, roll=0, pitch=0, yaw=0), ] temp = stub.GetIKControlInfos(GrabSim_pb2.HandPostureInfos(scene=self.sceneID, handPostureObjects=HandPostureObject)) def move_to_obj(self,obj_id): scene = self.status obj_info = scene.objects[obj_id] # Robot obj_x, obj_y, obj_z = obj_info.location.X, obj_info.location.Y, obj_info.location.Z walk_v = [obj_x + 50, obj_y] + [180, 180, 0] if obj_y >= 820 and obj_y <= 1200 and obj_x >= 240 and obj_x <= 500: # 物品位于斜的抹布桌上 ([240,500],[820,1200]) walk_v = [obj_x + 40, obj_y - 35, 130, 180, 0] obj_x += 3 obj_y += 2.5 walk_v[0]+=1 print("walk:",walk_v) action = GrabSim_pb2.Action(scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.WalkTo, values=walk_v) scene = stub.Do(action) print("After Walk Position:", [scene.location.X, scene.location.Y, scene.rotation.Yaw]) # 移动到进行操作任务的指定地点 def move_task_area(self,op_type,obj_id=0, release_pos=[247.0, 520.0, 100.0]): scene = self.status cur_pos = [scene.location.X, scene.location.Y, scene.rotation.Yaw] print("Current Position:", cur_pos, "开始任务:", self.op_dialog[op_type]) if op_type==11 or op_type==12: # 开关窗帘不需要移动 return print('------------------moveTo_Area----------------------') if op_type < 8: walk_v = self.op_v_list[op_type] + [scene.rotation.Yaw, 180, 0] # 动画控制 print("walk_v:",walk_v) if op_type>=8 and op_type<=10: walk_v = self.op_v_list[6] + [scene.rotation.Yaw, 180, 0] # 控灯 if op_type in [13,14,15]: walk_v = [240, -140.0] + [0, 180, 0] # 空调 if op_type==16: # 抓握物体，移动到物体周围的可达区域 scene = self.status obj_info = scene.objects[obj_id] # Robot obj_x, obj_y, obj_z = obj_info.location.X, obj_info.location.Y, obj_info.location.Z walk_v = [obj_x + 50, obj_y] + [180, 180, 0] if obj_y >= 820 and obj_y <= 1200 and obj_x >= 240 and obj_x <= 500: # 物品位于斜的抹布桌上 ([240,500],[820,1200]) walk_v = [obj_x + 40, obj_y - 35, 130, 180, 0] obj_x += 3 obj_y += 2.5 if op_type==17: # 放置物体，移动到物体周围的可达区域 walk_v = release_pos[:-1] + [180, 180, 0] if release_pos == [340.0, 900.0, 99.0]: walk_v[2] = 130 action = GrabSim_pb2.Action(scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.WalkTo, values=walk_v) scene = stub.Do(action) print("After Walk Position:", [scene.location.X, scene.location.Y, scene.rotation.Yaw]) # 相应的行动，由主办方封装 def control_robot_action(self, type=0, action=0, message="你好"): scene = stub.ControlRobot( GrabSim_pb2.ControlInfo( scene=self.sceneID, type=type, action=action, content=message ) ) if str(scene.info).find("Action Success") > -1: print(scene.info) return True else: print(scene.info) return False def adjust_kongtiao(self,op_type): obj_loc = self.obj_loc[:] obj_loc[2] -= 5 if op_type == 13: obj_loc[1] -= 2 if op_type == 14: obj_loc[1] -= 0 if op_type == 15: obj_loc[1] += 2 self.ik_control_joints(2, obj_loc[0], obj_loc[1], obj_loc[2]) time.sleep(3.0) self.robo_recover() return True def gen_obj(self,h=100): # 4;冰红(盒) 5;酸奶 7:保温杯 9;冰红(瓶) 13:代语词典 14:cake 61:甜牛奶 scene = self.status ginger_loc = [scene.location.X, scene.location.Y, scene.location.Z] obj_list = [GrabSim_pb2.ObjectList.Object(x=ginger_loc[0] - 55, y=ginger_loc[1] - 40, z = 95, roll=0, pitch=0, yaw=0, type=5), # GrabSim_pb2.ObjectList.Object(x=ginger_loc[0] - 50, y=ginger_loc[1] - 40, z=h, roll=0, pitch=0, yaw=0, type=9), GrabSim_pb2.ObjectList.Object(x=340, y=960, z = 88, roll=0, pitch=0, yaw=0, type=9), ] scene = stub.AddObjects(GrabSim_pb2.ObjectList(objects=obj_list, scene=self.sceneID)) time.sleep(1.0) def grasp_obj(self,obj_id,hand_id=1): scene = self.status obj_info = scene.objects[obj_id] obj_x, obj_y, obj_z = obj_info.location.X, obj_info.location.Y, obj_info.location.Z if obj_info.name=="CoffeeCup": # obj_x += 1 # obj_y -= 1 # values = [0,0,0,0,0, 10,-25,-45,-45,-45] # values= [-6, 0, 0, 0, 0, -6, 0, 45, 45, 45] stub.Do(GrabSim_pb2.Action(scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.Finger, values=values)) pass if obj_info.name=="Glass": pass # Finger self.ik_control_joints(2, obj_x-9, obj_y, obj_z) # -10, 0, 0 time.sleep(3.0) # Grasp Obj print('------------------grasp_obj----------------------') action = GrabSim_pb2.Action(scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.Grasp, values=[hand_id, obj_id]) scene = stub.Do(action) time.sleep(3.0) return True # robot的肢体恢复原位 def robo_recover(self): action = GrabSim_pb2.Action(scene=self.sceneID,action=GrabSim_pb2.Action.ActionType.RotateJoints, # 恢复原位 values=[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) scene = stub.Do(action) def standard_finger(self): values = [0,0,0,0,0, 0,0,0,0,0] stub.Do(GrabSim_pb2.Action(scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.Finger, values=values)) time.sleep(1.0) def robo_stoop_parallel(self): # 0-3是躯干，4-6是脖子和头，7-13是左胳膊，14-20是右胳膊 scene = self.status angle = [scene.joints[i].angle for i in range(21)] angle[0] = 15 # 15 angle[19] = -15 angle[20] = -30 action = GrabSim_pb2.Action(scene=self.sceneID,action=GrabSim_pb2.Action.ActionType.RotateJoints, # 弯腰 values=angle) scene = stub.Do(action) time.sleep(1.0) def release_obj(self,release_pos): print("------------------release_obj----------------------") if release_pos==[340.0, 900.0, 99.0]: self.ik_control_joints(2, release_pos[0]-40, release_pos[1]+35, release_pos[2]) time.sleep(2.0) else: self.ik_control_joints(2, release_pos[0] - 80, release_pos[1], release_pos[2]) time.sleep(2.0) self.robo_stoop_parallel() action = GrabSim_pb2.Action(scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.Release, values=[1]) scene = stub.Do(action) time.sleep(2.0) self.robo_recover() self.standard_finger() return True # 执行过程：输出"开始(任务名)" -> 按步骤数执行任务 -> Robot输出成功或失败的对话 def op_task_execute(self,op_type,obj_id=0,release_pos=[247.0, 520.0, 100.0]): self.control_robot_action(0, 1, "开始"+self.op_dialog[op_type]) # 开始制作咖啡 if op_type<8: result = self.control_robot_action(op_type, 1) if op_type>=8 and op_type<=12: result = self.control_robot_action(self.op_typeToAct[op_type][0], self.op_typeToAct[op_type][1]) if op_type in [13,14,15]: # 调整空调:13代表按开关,14升温,15降温 result = self.adjust_kongtiao(op_type) if op_type ==16: # 抓握物体 result = self.grasp_obj(obj_id) if op_type ==17: # 放置物体 result = self.release_obj(release_pos) self.control_robot_action(0, 2) if result: if self.op_act_num[op_type]>0: for i in range(2,2+self.op_act_num[op_type]): self.control_robot_action(op_type,i) self.control_robot_action(0, 2) # self.control_robot_action(0, 1, "成功"+self.op_dialog[op_type]) # else: # self.control_robot_action(0, 1, self.op_dialog[op_type]+"失败") def find_obj(self,name): for id, item in enumerate(self.status.objects): if item.name == name: print("name:",name,"id:",id,"X:",item.location.X,"Y:",item.location.Y,"Z:",item.location.Z,) def test_move(self): v_list = [[0, 880], [250, 1200], [-55, 750], [70, -200]] scene = self.status for walk_v in v_list: walk_v = walk_v + [scene.rotation.Yaw - 90, 600, 100] print("walk_v", walk_v) action = GrabSim_pb2.Action(scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.WalkTo, values=walk_v) scene = stub.Do(action) print(scene.info) def navigation_move(self, cur_objs, objs_name_set, v_list, scene_id=0, map_id=11): print('------------------navigation_move----------------------') scene = stub.Observe(GrabSim_pb2.SceneID(value=scene_id)) walk_value = [scene.location.X, scene.location.Y, scene.rotation.Yaw] print("position:", walk_value) # if map_id == 11: # coffee # v_list = [[0, 880], [250, 1200], [-55, 750], [70, -200]] # else: # v_list = [[0.0, 0.0]] for walk_v in v_list: walk_v = walk_v + [scene.rotation.Yaw - 90, 250, 10] print("walk_v", walk_v) action = GrabSim_pb2.Action(scene=scene_id, action=GrabSim_pb2.Action.ActionType.WalkTo, values=walk_v) scene = stub.Do(action) cur_objs, objs_name_set = camera.get_semantic_map(GrabSim_pb2.CameraName.Head_Segment, cur_objs, objs_name_set) # if scene.info == "Unreachable": print(scene.info) return cur_objs, objs_name_set def isOutMap(self, pos, min_x=-200, max_x=600, min_y=-250, max_y=1300): if pos[0] <= min_x or pos[0] >= max_x or pos[1] <= min_y or pos[1] >= max_y: return True return False def real2map(self, x, y): ''' 实际坐标->地图坐标 (向下取整) ''' # x = round((x - self.min_x) / self.scale_ratio) # y = round((y - self.min_y) / self.scale_ratio) x = math.floor((x + 200)) y = math.floor((y + 250)) return x, y def explore(self, map, explore_range): scene = stub.Observe(GrabSim_pb2.SceneID(value=0)) cur_pos = [int(scene.location.X), int(scene.location.Y)] for i in range(cur_pos[0] - explore_range, cur_pos[0] + explore_range + 1): for j in range(cur_pos[1] - explore_range, cur_pos[1] + explore_range + 1): if self.isOutMap((i, j)): continue x, y = self.real2map(i, j) if map[x, y] == 0: self.visited.add((i, j)) self.auto_map[x][y] = 0 for i in range(cur_pos[0] - explore_range, cur_pos[0] + explore_range + 1): for j in range(cur_pos[1] - explore_range, cur_pos[1] + explore_range + 1): if self.isOutMap((i, j)): continue x, y = self.real2map(i, j) if map[x, y] == 0: if self.isNewFrontier((i, j), map): self.all_frontier_list.add((i, j)) if len(self.all_frontier_list) == 0: free_list = list(self.visited) free_array = np.array(free_list) print(f"主动探索完成！以下是场景中可以到达的点：{free_array}；其余点均是障碍物不可达") # 画地图: X行Y列，第一行在下面 plt.clf() plt.imshow(self.auto_map, cmap='binary', alpha=0.5, origin='lower', extent=(-250, 1300, -200, 600)) plt.show() print("已绘制完成地图！！！") return None # 画地图: X行Y列，第一行在下面 plt.imshow(self.auto_map, cmap='binary', alpha=0.5, origin='lower', extent=(-250, 1300, -200, 600)) plt.show() print("已绘制部分地图！") return self.getNearestFrontier(cur_pos, self.all_frontier_list) def isNewFrontier(self, pos, map): around_nodes = [(pos[0], pos[1] + 1), (pos[0], pos[1] - 1), (pos[0] - 1, pos[1]), (pos[0] + 1, pos[1])] for node in around_nodes: x, y = self.real2map(node[0], node[1]) if not self.isOutMap((node[0], node[1])) and node not in self.visited and map[x, y] == 0: return True if (pos[0], pos[1]) in self.all_frontier_list: self.all_frontier_list.remove((pos[0], pos[1])) return False def getDistance(self, pos1, pos2): return math.sqrt((pos1[0] - pos2[0]) ** 2 + (pos1[1] - pos2[1]) ** 2) def getNearestFrontier(self, cur_pos, frontiers): dis_min = sys.maxsize frontier_best = None for frontier in frontiers: dis = self.getDistance(frontier, cur_pos) if dis <= dis_min: dis_min = dis frontier_best = frontier return frontier_best def cal_distance_to_robot(self,objx,objy,objz): scene = self.status ginger_x, ginger_y, ginger_z = [int(scene.location.X), int(scene.location.Y),100] return math.sqrt((ginger_x - objx) ** 2 + (ginger_y - objy) ** 2 + (ginger_z - objz) ** 2) # 根据map文件判断是否可达 def reachable(self, pos): x, y = self.real2map(pos[0], pos[1]) if self.map_file[x, y] == 0: return True else: return False