HapticVisualNet

该数据集包含了在机器人辅助喂食试验中获取的食物项的视觉和触觉观察数据。该数据集用于评估结合视觉和触觉在获取食物项方面的有效性，以及HapticVisualNet系统在泛化能力方面的表现。数据集规模涉及6个包含不同食物项的盘子，总计进行了69次串刺尝试，其任务是基于视觉和触觉数据对食物项的串刺策略进行分类。

This dataset contains visual and tactile observation data of food items collected during robot-assisted feeding trials. It is used to evaluate the effectiveness of combining visual and tactile modalities for food item retrieval, as well as the performance of the HapticVisualNet system in terms of generalization ability. The dataset includes 6 plates with various food items, with a total of 69 piercing attempts, and its core task is to classify the piercing strategies for food items based on visual and tactile data.