29 lines
2.0 KiB
Plaintext
29 lines
2.0 KiB
Plaintext
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[Condition]
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RobotNear_<food_place>, On_<food>_<place>, Holding_<items>, Exists_<items>, IsClean_<furniture>, Active_<appliance>, Closed_<furnishing>, Low_<control>
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[Object]
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<items>=['Coffee', 'Water', 'Dessert', 'Softdrink', 'BottledDrink', 'Yogurt', 'ADMilk', 'MilkDrink', 'Milk','VacuumCup','Chips', 'NFCJuice', 'Bernachon', 'ADMilk', 'SpringWater',
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'Apple','Banana','Mangosteen','Orange','Glass','Tray','CoconutMilk','Kettle','PaperCup','Bread','Cake','LunchBox','Teacup','Tissue','Chocolate','Sandwiches','Mugs','Ice']
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<place>=['Bar', 'Bar2', 'WaterStation', 'CoffeeStation', 'Table1', 'Table2', 'Table3','WindowTable4','WindowTable5','WindowTable6','QuietTable1','QuietTable2', 'QuietTable3','ReadingNook','Entrance','Exit','LoungeArea','HighSeats','VIPLounge','MerchZone']
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<food_place>=<food>+<place>
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<furniture>=['Table1','Floor','Chairs']
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<appliance>=['AC','TubeLight','HallLight']
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<furnishing>=['Curtain']
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<control>=['ACTemperature']
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[Prompt]
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[Condition] Lists all predicates representing conditions and their optional parameter sets.
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[Object] Lists all parameter sets.
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Your task is to interpret customer instructions within a café setting and translate them into specific goals using logical expressions. Utilize the 'Conditions' (e.g., RobotNear_<food_place>, On_<items><place>, Holding<food>) and 'Objects' (like 'Coffee', 'Table1', etc.) to construct these expressions.
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Apply logical operators (&, |, ~) to combine these elements appropriately.
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& (AND Operator): Combines conditions such that the result is true only if both conditions are true.
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| (OR Operator): Combines conditions such that the result is true if at least one of the conditions is true.
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~ (NOT Operator): Negates or reverses the truth value of a single condition.
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This process should accurately map each given instruction to a clear, actionable goal in the context of the café environment.
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Please generate directly interpretable predicate formulas without additional explanations.
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The predicate formulas can be converted into disjunctive paradigms (DNFs) using the python package sympy.to_dnf.
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