End-to-End Deep Learning by MCU Implementation: An Intelligent Gripper for Shape Identification

End-to-End Deep Learning by MCU Implementation: An Intelligent Gripper for Shape Identification

This paper introduces a real-time processing and classification of raw sensor data using a convolutional neural network (CNN). The established system is a microcontroller-unit (MCU) implementation of an intelligent gripper for shape identification of grasped objects. The pneumatic gripper has two em...

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Bibliographic Details
Main Authors: Chung-Wen Hung, Shi-Xuan Zeng, Ching-Hung Lee, Wei-Ting Li
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
convolutional neural network
vibration signal
short time Fourier transform
shape identification
MCU
Online Access:https://www.mdpi.com/1424-8220/21/3/891

Internet

https://www.mdpi.com/1424-8220/21/3/891

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