Pepper taking images of a laptop and asking a human to manipulate it for learning the property Folded.

Pepper taking images of a laptop and asking a human to manipulate it for learning the property Folded.

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Autonomous agents embedded in a physical environment need the ability to recognize objects and their properties from sensory data. Such a perceptual ability is often implemented by supervised machine learning models, which are pre-trained using a set of labelled data. In real-world, open-ended deployments, however, it is unrealistic to assume to ha...

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... test our method in a real-world setting, we used a Softbank's Pepper humanoid robot in PEIS home ecology (Saf- fiotti et al. 2008), shown in Figure 1. As an object detector, we adopted a publicly available model of YoloV5 pretrained on the MS-COCO dataset ( Lin et al. 2014). ...