Classification of Floor Materials Using Piezoelectric Actuator–Sensor Pair and Deep Learning for Mobile Robots

Classification of Floor Materials Using Piezoelectric Actuator–Sensor Pair and Deep Learning for Mobile Robots

Analyzing floor surface materials is critical for controlling the motion and tasks of mobile robots. In this study, we propose a novel method for classifying floor materials for indoor mobile robots using a piezoelectric actuator–sensor pair and deep learning. This method can classify the...

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Bibliographic Details
Main Authors: Jiyong Min, Jisung Pack, Heon Ick Park, Youngsu Cha
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Piezoelectric sensor
material classification
mobile robot
neural network
Online Access:https://ieeexplore.ieee.org/document/10440095/

Internet

https://ieeexplore.ieee.org/document/10440095/

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