Learning by Breaking: Food Fracture Anticipation for Robotic Food Manipulation

Learning by Breaking: Food Fracture Anticipation for Robotic Food Manipulation

This study aimed to anticipate fractures of fragile food during robotic food manipulation. Anticipating fractures allows a robot to manipulate ingredients without irreversible failure. Food fracture models investigated in food texture fields explain the properties of fragile objects well. However, t...

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Bibliographic Details
Main Authors: Reina Ishikawa, Masashi Hamaya, Felix Von Drigalski, Kazutoshi Tanaka, Atsushi Hashimoto
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Robotic food manipulation
fracture anticipation
tactile sensing
Online Access:https://ieeexplore.ieee.org/document/9894412/

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