A Mechatronic Perspective on Robotic Arms and End-Effectors

Ben-Tzvi, Pinhas; Moubarak, Paul M.

doi:10.5772/16234

Cited by 1 publication

(1 citation statement)

References 27 publications

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“…It was teleoperated by a wearable system made by several types of sensors, including RFSs used for measuring the bending angles of elbows and fingers. The work in [185] considered the control of robotic hands in a closed-loop master-slave scheme, where the robotic hand was the slave reacting to orders coming from the sensors integrated into the glove of the human operator as a master.…”

Section: Proximal/remote Controlmentioning

confidence: 99%

Resistive flex sensors: a survey

Saggio

Riillo

Sbernini

et al. 2015

Smart Mater. Struct.

140

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Resistive flex sensors can be used to measure bending or flexing with relatively little effort and a relativelylow budget. Their lightness, compactness, robustness, measurement effectiveness and low power consumption make these sensors useful for manifold applications in diverse fields.Here, we provide a comprehensive survey of resistive flex sensors, taking into account their working principles, manufacturing aspects, electrical characteristics and equivalent models, useful front-end conditioning circuitry, and physic-bio-chemical aspects. Particular effort is devoted to reporting on and analyzing several applications of resistive flex sensors, related to the measurement of body position and motion, and to the implementation of artificial devices. In relation to the human body, we consider the utilization of resistive flex sensors for the measurement of physical activity and for the development of interaction/interface devices driven by human gestures. Concerning artificial devices, we deal with applications related to the automotive field, robots, orthosis and prosthesis, musical instruments and measuring tools. The presented literature is collected from different sources, including bibliographic databases, company press releases, patents, master's theses and PhD theses.

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Section: Proximal/remote Controlmentioning

confidence: 99%