Recalling of multiple grasping methods from an object image with a convolutional neural network

Recalling of multiple grasping methods from an object image with a convolutional neural network

Abstract In this study, a method for a robot to recall multiple grasping methods for a given object is proposed. The aim of this study was for robots to learn grasping methods for new objects by observing the grasping activities of humans in daily life without special instructions. For this setting,...

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Bibliographic Details
Main Authors: Makoto Sanada, Tadashi Matsuo, Nobutaka Shimada, Yoshiaki Shirai
Format: Article
Language:English
Published: SpringerOpen 2021-07-01
Series:ROBOMECH Journal
Subjects:
Object grasping
Convolutional neural network
Recall
Grasping method
Clustering
Online Access:https://doi.org/10.1186/s40648-021-00206-4

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