Paper Info
Title
Movement Detection in Soft Robotic Gripper using Sinusoidally Embedded Fiber Optic Sensor.
Abstract
Soft robotics is an emerging field, since it offers distinct opportunities in areas where conventional rigid robots are not a feasible solution. However, due to the complex motions of soft robots and the stretchable nature of soft building materials, conventional electronic and fiber optic sensors cannot be used in soft robots, thus, hindering the soft robots' ability to sense and respond to their surroundings. Fiber Bragg grating (FBG)-based sensors are very popular among various fiber optic sensors, but their stiff nature makes it challenging to be used in soft robotics. In this study, a soft robotic gripper with a sinusoidally embedded stretchable FBG-based fiber optic sensor is demonstrated. Unlike a straight FBG embedding configuration, this unique sinusoidal configuration prevents sensor dislocation, supports stretchability and improves sensitivity by seven times when compared to a straight configuration. Furthermore, the sinusoidally embedded FBG facilitates the detection of various movements and events occurring at the soft robotic gripper, such as (de)actuation, object holding and external perturbation. The combination of a soft robot and stretchable fiber optic sensor is a novel approach to enable a soft robot to sense and response to its surroundings, as well as to provide its operation status to the controller.
Year
DOI
Venue
2020
10.3390/s20051312
SENSORS
Keywords
DocType
Volume
soft robotic,movement detection,fiber sensor,fiber Bragg grating (FBG),stretchable sensor
Journal
20
Issue
ISSN
Citations 
5
1424-8220
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Mei Yang101.35
Qidi Liu200.68
Hamza Sayed Naqawe300.34
Mable P. Fok476.12