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Abstract

A method for actuating a robot to perform a task. In the method, at least one image of a scene is provided; object types are ascertained for object(s) in the image; the task is fed with the object types to a trained language model, the trained language model outputs a plurality of candidate actions; the candidate actions are evaluated with a progress metric to determine the extent to which the performance of the candidate action promises progress with regard to the predetermined task, and evaluated with a predetermined success metric to determine the probability with which an attempt to perform the candidate action will be successful; the values of the progress metric and the success metric are merged into an overall rating of the candidate action; a candidate action having the best overall rating is selected; and the robot is actuated to perform the selected candidate action.

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