Optical sensor-embedded type artificial muscle and use thereof and preparation method

Abstract

The invention discloses an optical sensor-embedded type artificial muscle and use thereof and a preparation method. Feedback control of a current pneumatic muscle driving system is achieved by relyingmainly on the use of an external pressure sensor and a position sensor or an encoder. The optical sensor-embedded type artificial muscle comprises an optical pressure detection end cover, an artificial muscle matrix and an optical length detection end cover. The artificial muscle matrix comprises an elastic cylinder body, a light length detection diaphragm and a light pressure detection diaphragm. The light pressure detection diaphragm and the light length detection diaphragm are fixed respectively to the pressure detection end and the length detection end of the inner cavity of the elastic cylinder body. Two sides of the light pressure detection diaphragm do not communicate. Two sides of the light length detection diaphragm communicate through ventilation holes. Light is absorbed by theinner side face of the elastic cylinder body. Light is reflected by the outer side faces of the light pressure detection diaphragm and the light length detection diaphragm. According to the optical sensor-embedded type artificial muscle, optical sensors are designed to feed back the contraction length and contractility of the artificial muscle; and the artificial muscle has the advantages that theweight is light, and adaptability is good.

Description

technical field [0001] The invention belongs to the technical field of soft robots, and in particular relates to a soft pneumatic artificial muscle embedded with an optical sensor. Background technique [0002] The field of soft robotics is well-positioned for wearable devices and human-robot interaction due to their light weight and compliance. For such applications, position and force perception are crucial to enhance human-computer interaction, and implementing these functions in soft-body systems is a challenge due to the nonlinear properties of soft-body materials. Current feedback control of pneumatic muscle drive systems mainly relies on the use of external pressure sensors and position sensors or encoders. While this works for some robotic systems, additional sensing hardware adds complexity to the design and negates the advantages of soft robots in terms of light weight, compliance, and more. Especially in the case of wearable devices, external sensing may add bul...

AI Technical Summary

Problems solved by technology

While this works for some robotic systems, additional sensing hardware adds complexity to the design and negates the advantages of soft robots in terms of light weight, compliance, etc.

Especially in the case of wearables, external sensing can add bulk and weight to the wearer and inhibit movement

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