Fuzzy control for soft robotic gripper oriented to no rigid and thing objects

Authors

DOI:

https://doi.org/10.24054/rcta.v2i42.2647

Keywords:

Bio-inspired grip, Fuzzy control, 3D Impression, Soft robotics

Abstract

This paper presents the design of a robotic effector built with internal sensors in flexible material. Based on the bio-inspired grasping of thin, typically non-rigid objects made with two fingers by humans, the characteristics of model 3 are established, which serves as the basis for the printing of this model, including internal space for a flex resistance that allows identifying the percentage of flexion for grasping, using the effector. A fuzzy controller is designed to control the effector, and, given the tolerance of the sensor, a Mamdani type-2 fuzzy inference system is used. The results show an adequate grip that allows obtaining a steady state error close to zero, allowing one to grip thin objects such as a handkerchief or toilet paper.

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References

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Published

2023-10-10 — Updated on 2023-10-10

How to Cite

[1]
R. Jiménez Moreno, J. E. Martínez Baquero, and O. Agudelo Varela, “Fuzzy control for soft robotic gripper oriented to no rigid and thing objects”, RCTA, vol. 2, no. 42, pp. 1–7, Oct. 2023.

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