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Despite the large scientific interest on robot learning forobject picking tasks, the research on object placingis too limited. Commonly, placing is simplistically consideredas a trivial task, but real life manipulation problems indicatethe exact opposite. A placing task can have different levels ofcomplexity, ranging from the simplest tabletop placing of anobject, to more complex cases such as loa
