Is a prosthetic arm customized PRADA? A critical perspective on the social aspects of prosthetic arms

Kwek, Edrick; Choi, Moon Jung

doi:10.1080/09687599.2016.1235308

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…In the United States, the cost of a prosthetic arm is in the range of USD $5000 for the simplest prosthetic arm and approximately USD $100000 for a neuro-prosthetic model [1] . These costs make good quality prostheses inaccessible to most people, especially in developing countries.…”

Section: Hardware In Contextmentioning

confidence: 99%

A low-cost robotic hand prosthesis with apparent haptic sense controlled by electroencephalographic signals

Cutipa-Puma,

Coaguila-Quispe,

Yanyachi

2023

HardwareX

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Section: Hardware In Contextmentioning

confidence: 99%

A low-cost robotic hand prosthesis with apparent haptic sense controlled by electroencephalographic signals

Cutipa-Puma,

Coaguila-Quispe,

Yanyachi

2023

HardwareX

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“…Sometimes this processing is simplified by using geometrical ISSN: 1693-6930  Hybrid fuzzy-sliding grasp control for underactuated robotic hand (Fredy Martínez) 2071 shape recognition, which allows it to be implemented on embedded platforms directly on the robot [9]. On the other side, this type of research is also of great importance in the development of prostheses that functionally replace organs with artificial devices, and therefore have a great impact on improving the quality of life of disabled communities [10][11][12]. Beyond facilitating a certain task, this last field of action has a strong impact on social inclusion of people who have lost one of their arms, even more, when the solution is highly functional and low cost.…”

Section: Introductionmentioning

confidence: 99%

Hybrid fuzzy-sliding grasp control for underactuated robotic hand

Sarmiento¹,

Ariza²,

Jacinto³

2019

TELKOMNIKA

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A major part of the success of human-robots integration requires the development of robotic platforms capable of interacting in human environments. Human beings have an environment designed for their physical and morphological capacity, robots must adapt to these conditions. This paper presents a fuzzy-sliding hybrid grasp control for a five-finger robotic hand. As a design principle, the scheme takes into account the minimum force required on the object to prevent the object from slipping. The robotic hand uses force sensors on each finger to determine the grasp state. The control is designed with two control surfaces, one when there is slippage, the other when there is no slippage. For each surface, control rules are defined and unified by means of a fuzzy inference block. The proposed scheme is evaluated in the laboratory for different objects, which include spherical and cylindrical elements. In all cases, an excellent grasp was observed without producing deformations in the fragile objects.

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