RoboWaiter/robowaiter/scene/scene.py

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import time
import grpc
import numpy as np
from robowaiter.proto import GrabSim_pb2
from robowaiter.proto import GrabSim_pb2_grpc
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]
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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 image_extract(camera_data):
image = camera_data.images[0]
return np.frombuffer(image.data, dtype=image.dtype).reshape(
(image.height, image.width, image.channels)
)
class Scene:
robot = None
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event_list = []
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show_bubble = False
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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
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"condition_set": set()
}
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"""
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
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self.use_offset = False
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self.start_time = time.time()
self.time = 0
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self.sub_task_seq = None
# init robot
if robot:
robot.set_scene(self)
robot.load_BT()
self.robot = robot
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# myx op
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# 1-7 正常执行, 8-10 移动到6, 11-12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","关筒灯","开大厅灯","关大厅灯","关闭窗帘","打开窗帘"]
self.op_act_num = [0,3,4,6,3,2,0,1,0,0,0,0,0]
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]}
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def _reset(self):
# 场景自定义的reset
pass
def _run(self):
# 场景自定义的run
pass
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def _step(self):
# 场景自定义的step
pass
def reset(self):
# 基类reset默认执行仿真器初始化操作
self.reset_sim()
# reset state
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self.state = self.default_state
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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
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self.deal_event()
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self._step()
self.robot.step()
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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'顾客说:{sentence}')
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if self.show_bubble:
self.chat_bubble(f'顾客说:{sentence}')
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self.state['chat_list'].append(f'{sentence}')
return customer_say
@property
def status(self):
return stub.Observe(GrabSim_pb2.SceneID(value=self.sceneID))
def reset_sim(self):
# reset world
init_world()
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stub.Reset(GrabSim_pb2.ResetParams(scene=self.sceneID))
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, velocity=150, dis_limit=100):
if self.use_offset:
X, Y = X + loc_offset[0], Y + loc_offset[1]
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v = [X, Y, Yaw - 90, velocity, dis_limit]
print(v)
action = GrabSim_pb2.Action(
scene=self.sceneID,
action=GrabSim_pb2.Action.ActionType.WalkTo,
values=v
)
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scene_info = stub.Do(action)
return scene_info
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, X, Y, Yaw):
if self.use_offset:
X, Y = X + loc_offset[0], Y + loc_offset[1]
if self.reachable_check(X, Y, Yaw):
stub.AddWalker(
GrabSim_pb2.WalkerList(
walkers=[
GrabSim_pb2.WalkerList.Walker(
id=0,
pose=GrabSim_pb2.Pose(
X=X, Y=Y, Yaw=Yaw
), # Parameter id is useless
)
],
scene=self.sceneID,
)
)
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_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 image_extract(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 image_extract(camera_data)
else:
return camera_data
def get_camera_segment(self, image_only=True):
camera_data = stub.Capture(
GrabSim_pb2.CameraList(
cameras=[GrabSim_pb2.CameraName.Head_Segment], scene=self.sceneID
)
)
if image_only:
return image_extract(camera_data)
else:
return camera_data
def chat_bubble(self, message):
stub.ControlRobot(
GrabSim_pb2.ControlInfo(
scene=self.sceneID, type=0, action=1, content=message
)
)
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))
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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
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def op_task_execute(self,op_type):
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(self.op_typeToAct[op_type][0], self.op_typeToAct[op_type][1])
else:
result = self.control_robot_action(op_type, 1) #
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self.control_robot_action(0, 2)
if result:
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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)
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self.control_robot_action(0, 2)
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self.control_robot_action(0, 1, "成功"+self.op_dialog[op_type])
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else:
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self.control_robot_action(0, 1, self.op_dialog[op_type]+"失败")
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def move_task_area(self,op_type=1):
if op_type>=8 and op_type<=10:
v_list = self.op_v_list[6]
else:
v_list = self.op_v_list[op_type]
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scene = stub.Observe(GrabSim_pb2.SceneID(value=self.sceneID))
walk_value = [scene.location.X, scene.location.Y, scene.rotation.Yaw]
print("------------------move_task_area----------------------")
print("position:", walk_value,"开始任务:",self.op_dialog[op_type])
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for walk_v in v_list:
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walk_v = walk_v + [scene.rotation.Yaw, 60, 0]
action = GrabSim_pb2.Action(
scene=self.sceneID, action=GrabSim_pb2.Action.ActionType.WalkTo, values=walk_v
)
scene = stub.Do(action)
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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)
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