A Dataset of Food Manipulation Strategies for Diverse Foods

A dataset of multimodal sensing modalities (forces, torques, poses, RGBD images) for acquiring bites of food. Includes a diverse set of food items, from vegetables like spinach and broccoli, to bready items like sandwiches and pizza, to thick items like mashed potatoes and jello, to composite items like noodles and rice & beans. This dataset extends "A Dataset of Food Manipulation Strategies" ( https://doi.org/10.7910/DVN/8TTXZ7 ) to a much more diverse set of food items.