Soft Robots’ Dynamic Posture Perception Using Kirigami-Inspired Flexible Sensors with Porous Structures and Long Short-Term Memory (LSTM) Neural Networks

Soft Robots’ Dynamic Posture Perception Using Kirigami-Inspired Flexible Sensors with Porous Structures and Long Short-Term Memory (LSTM) Neural Networks

Soft robots can create complicated structures and functions for rehabilitation. The posture perception of soft actuators is critical for performing closed-loop control for a precise location. It is essential to have a sensor with both soft and flexible characteristics that does not affect the moveme...

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Bibliographic Details
Main Authors: Jing Shu, Junming Wang, Sanders Cheuk Yin Lau, Yujie Su, Kelvin Ho Lam Heung, Xiangqian Shi, Zheng Li, Raymond Kai-yu Tong
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
soft robotics
flexible sensors
kirigami-inspired structures
flexible porous structures
deep learning
long short-term memory neural network
Online Access:https://www.mdpi.com/1424-8220/22/20/7705

Internet

https://www.mdpi.com/1424-8220/22/20/7705

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