Robot Learning Physical Object Properties from Human Visual Cues: A novel approach to infer the fullness level in containers
Nuno Ferreira Duarte,Mirko Raković,José Santos-Victor,Nuno Ferreira Duarte,Mirko Raković,José Santos-Victor
For collaborative tasks, involving handovers, humans are able to exploit visual, non-verbal cues, to infer physical object properties, like mass, to modulate their actions. In this paper, we investigate how the different levels of liquid inside a cup can be inferred from the observation of the movement of the person handling the cup. We model this mechanism from human experiments and incorporate i...
