Target-Mass Grasping of Entangled Food Using Pre-Grasping & Post-Grasping

نویسندگان

چکیده

Food packing industries typically use seasonal ingredients with immense variety that factory workers manually pack. For small pieces of food picked by volume or weight tend to get entangled, stick clump together, it is difficult predict how intertwined they are from a visual examination, making challenge grasp the requisite target mass accurately. Workers rely on combination weighing scales and sequence complex maneuvers separate out reach mass. This makes automation process non-trivial affair. In this study, we propose methods combines 1) pre-grasping reduce degree entanglement, 2) post-grasping adjust grasped using novel gripper mechanism carefully discard excess when amount larger than mass, 3) selecting grasping point an likely be reasonably higher confidence. We evaluate foods entangle, clump, each which has different size, shape, material properties such as volumetric density. show significant improvement in accuracy user-specified masses our proposed methods.

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ژورنال

عنوان ژورنال: IEEE robotics and automation letters

سال: 2022

ISSN: ['2377-3766']

DOI: https://doi.org/10.1109/lra.2021.3138553