ロボットハンドリングのための食品データベースの構築

抄録

This study proposes a food classification database for robotic handling. The proposed food classification database classifies a wide variety of food products according to their conditions and characteristics, and associates them with various soft robotic hands or grippers that are commercially available and under research and development. By building a database using Microsoft Access and preparing multiple forms such as input and search, it is easy to share the food classification database with other researchers or users. The goal of this study is to build a food classification database for soft robotic hands and collect data to investigate trends in foods that soft robotic hands can grasp. This can be determined from the percentage of classification within the associated food items.