Object texture recognition by dynamic tactile sensing using active exploration

Abstract

For both humans and robots, tactile sensing is important for interaction with the environment: it is the core sensing used for exploration and manipulation of objects. In this paper, we present a method for determining object texture by active exploration with a robotic fingertip equipped with a dynamic tactile transducer based on polyvinylidene fluoride (PVDF) piezoelectric film. Different test surfaces are actively explored and the signal from the sensor is used for feature extraction, which is subsequently used for classification. A comparison between the significance of different extracted features and performance of learning algorithms is done and the best method is further used to classify objects by their surface textures with recognition results higher than 90 percent.