137 lines
5.9 KiB
Python
137 lines
5.9 KiB
Python
"""
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视觉语言操作
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机器人根据指令人的指令调节空调，自主探索环境导航到目标点，通过手臂的运动规划能力操作空调，比如开关按钮、调温按钮、显示面板
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"""
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import time
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from robowaiter.scene.scene import Scene
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class SceneVLM(Scene):
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def __init__(self, robot):
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super().__init__(robot)
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# 在这里加入场景中发生的事件， (事件发生的时间，事件函数)
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self.event_list = [
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(5, self.create_chat_event("把酸奶放到1号桌，再做一杯咖啡送到水杯桌上，再倒一杯水。")),
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# (10, self.create_chat_event("开空调")),
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# (15, self.create_chat_event("下班啦！打扫卫生，关灯关空调关窗帘。")),
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# (9, self.create_chat_event("关窗帘")),
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# (9, self.create_chat_event("开大厅灯")),
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# (5, self.create_chat_event("测试VLM：做一杯咖啡")),
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# (5, self.create_chat_event("测试VLM：倒一杯水")),
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# (5, self.create_chat_event("测试VLM：关空调")),
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# (5, self.create_chat_event("测试VLM：拖地")),
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# (5, self.create_chat_event("测试VLM：擦桌子")),
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# (5, self.create_chat_event("测试VLM：整理椅子")),
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# (5, self.create_chat_event("测试VLM：把冰红茶放到Table2")),
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# (5, self.create_chat_event("测试VLM：关大厅灯"))
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# (5, self.create_chat_event("测试VLM：做一杯咖啡放到吧台上")),
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# (5, self.create_chat_event("测试VLM：做一杯咖啡放到水杯桌上，再倒一杯水")),
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# (10, self.create_chat_event("测试VLM：关窗帘")),
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# (5, self.create_chat_event("测试VLN：前往2号桌")),
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# (11, self.create_chat_event("测试VLM：拖地")),
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# (12, self.create_chat_event("测试VLM：擦桌子")),
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]
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def _reset(self):
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self.gen_obj()
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self.state["condition_set"] = {'At(Robot,Bar)', 'Is(AC,Off)',
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'Holding(Nothing)','Exist(Yogurt)','Exist(Softdrink)','On(Yogurt,Bar)','On(Softdrink,Table1)',
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'Is(HallLight,Off)', 'Is(TubeLight,On)', 'Is(Curtain,On)',
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'Is(Table1,Dirty)', 'Is(Floor,Dirty)', 'Is(Chairs,Dirty)'}
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# 随机生成4个自由行走，一个在 BrightTable4,BrightTable5(-20,220)
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self.add_walkers([[0, 880], [250, 1200], [-55, 750], [70, -200],[-290, 400, 0],[20, -150,180]])
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self.control_walkers(walker_loc=[[-55, 750], [70, -200], [250, 1200], [0, 880]],is_autowalk = True)
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# self.control_walkers(walker_loc=[[-55, 750]],is_autowalk = False)
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# 在场景中随机增加一堆行人。
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# walker_loc = [[-55, 750], [70, -200], [250, 1200], [0, 880]]
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# controls = []
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# for i in range(len(s.walkers)):
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# loc = walker_loc[i]
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# is_autowalk = False
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# pose = GrabSim_pb2.Pose(X=loc[0], Y=loc[1], Yaw=180)
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# controls.append(GrabSim_pb2.WalkerControls.WControl(id=i, autowalk=is_autowalk, speed=200, pose=pose))
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# scene = sim_client.ControlWalkers(GrabSim_pb2.WalkerControls(controls=controls, scene=scene_id))
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# self.gen_obj(type=5)
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# self.gen_obj(type=9)
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# self.op_task_execute(op_type=16, obj_id=0)
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# self.move_task_area(op_type=4)
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pass
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def _run(self, op_type=10):
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# 共17个操作
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# "制作咖啡","倒水","夹点心","拖地","擦桌子","开筒灯","搬椅子", # 1-7
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# "关筒灯","开大厅灯","关大厅灯","关闭窗帘","打开窗帘", # 8-12
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# "调整空调开关","调高空调温度","调低空调温度", # 13-15
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# "抓握物体","放置物体" # 16-17
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# self.gen_obj()
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# if op_type <=15:
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# self.move_task_area(op_type)
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# self.op_task_execute(op_type)
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# if op_type == 16: # 16: 抓操作需要传入物品id
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# self.move_task_area(op_type, obj_id=0)
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# self.op_task_execute(op_type, obj_id=0)
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# # 原始吧台处:[247.0, 520.0, 100.0], 空调开关旁吧台:[240.0, 40.0, 100.0], 水杯桌:[-70.0, 500.0, 107]
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# # 桌子1:[-55.0, 0.0, 107],抹布桌:[340.0, 900.0, 99.0] # 桌子2:[-55.0, 150.0, 107],
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# if op_type == 17: # 17: 放操作需要传入放置位置周围的可达区域
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# pos = [240.0, 40.0, 100.0]
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# self.move_task_area(op_type, release_pos=pos)
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# self.op_task_execute(op_type, release_pos=pos) # [325.0, 860.0, 100]
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# 流程测试
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# 抓握放置:抓吧台前生成的酸奶，放到抹布桌上
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# self.gen_obj()
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# self.move_task_area(16, obj_id=0)
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# self.op_task_execute(16, obj_id=0)
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# pos = [340.0, 900.0, 99.0]
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# self.move_task_area(17, release_pos=pos)
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# self.op_task_execute(17, release_pos=pos)
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#
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# # 做咖啡:做完的咖啡放到水杯桌上
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# self.move_task_area(1)
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# self.op_task_execute(1)
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#
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# self.find_obj("CoffeeCup")
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#
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# self.move_task_area(16, obj_id=275)
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# self.op_task_execute(16, obj_id=275)
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# pos = [-70.0, 500.0, 107]
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# self.move_task_area(17, release_pos=pos)
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# self.op_task_execute(17, release_pos=pos)
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#
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# # 倒水:倒完的水放到旁边桌子上
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# self.move_task_area(2)
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# self.op_task_execute(2)
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#
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# self.move_task_area(16, obj_id=190)
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# self.op_task_execute(16, obj_id=190)
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# pos = [-55.0, 0.0, 107]
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# self.move_task_area(17, release_pos=pos)
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# self.op_task_execute(17, release_pos=pos)
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# self.test_yaw()
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pass
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def _step(self):
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pass
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if __name__ == '__main__':
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import os
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from robowaiter.robot.robot import Robot
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robot = Robot()
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# create task
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task = SceneVLM(robot)
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task.reset()
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task.run()
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