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Estudo Geral
Master thesis . 2014
Data sources: Estudo Geral
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Soft Sensors for Soft and Wearable Robots

Authors: Tomé, Ana Filipa Soares;

Soft Sensors for Soft and Wearable Robots

Abstract

With a growing need for safer human-robot interactions and taking the human skin properties as biological inspiration, the technological field of soft sensors has grown considerably in the last few years. Conventional tactile sensors integrated on robot gripers are nowadays available in multiple formats. Nonetheless, most of the tasks performed by robots demand complex rotational movements. Sensors adaptable to their host can turn robotic devices into safer technology to interact with and are easier to integrate in wearable devices since they do not interfere with their mechanical performance. The ease of access to soft materials and fabrication methods of customized objects through 3D printing, allows the development of soft sensors with desired geometries using low cost and simple methods. This work addresses the development of two distinct soft sensors, with embedded liquid-metal microchannels, by casting a liquid elastomer into 3D printed molds engraved with micro-dimensioned features. The first type of stretchable sensor, was designed for strain-sensing and can be applied in multiple devices to give information about joint angles and posture of prosthetic hands. The second designed sensor is intended to detect contact forces during manipulation and assembly. This project is a good example of how a mix of multidisciplinary knowledge coming from materials engineering, electronics, and robotics can form the basis of engineering state-of-art devices which can contribute to the further study and development of artificial skins with multiple sensing capabilities.

Dissertação de Mestrado Integrado em Engenharia Biomédica apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra

Country
Portugal
Related Organizations
Keywords

Sensores, Engenharia biomédica, Robótica, Ciências da saúde

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green