42 lines
1.7 KiB
Python
42 lines
1.7 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("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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]
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def _reset(self):
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pass
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def _run(self, op_type=2):
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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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# 16: 抓操作需要传入物品id，17: 放操作需要传入放置位置周围的空地区域(桌边而不是桌上)
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# if op_type == 16:
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# self.gen_obj()
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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, 70.0], 水杯桌:[-70.0, 500.0, 107]
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# # 桌子1:[-55.0, 0.0, 107],桌子1:[-55.0, 150.0, 107]
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# elif op_type == 17: self.op_task_execute(op_type, release_pos=[-55.0, 150.0, 107])
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# else:
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# self.move_task_area(op_type)
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# self.op_task_execute(op_type)
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pass
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def _step(self):
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pass
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