Effect of Speed, Speed Differences, and Motion Type on Perceived Safety of Collaborative Robots

The chapter places theological anthropologies that focus on the connectedness of the self in dialogue with key findings and claims advanced by attachment theorists. One of the most amply researched and pragmatically employed frameworks in contemporary neuropsychology, attachment theory contends that human subjectivity is the product of human attachments. Attachment figures provide an environment of perceived safety within which and out of which the self can pursue other activities in freedom; should attachment needs remain unmet, human actions would be inhibited. Self-actualization depends upon secure attachments that home the self. In fact, the term “home” is a key technical concept for attachment theory: secure attachments constitute a secure home for the self.

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Analysis of interlaboratory safety related tests in power and force limited collaborative robots

IEEE Access ◽

10.1109/access.2021.3085109 ◽

2021 ◽

pp. 1-1

Author(s):

A. Scibilia ◽

M. Valori ◽

N. Pedrocchi ◽

I. Fassi ◽

S. Herbster ◽

...

Keyword(s):

Collaborative Robots

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CNN Training Using 3D Virtual Models for Assisted Assembly with Mixed Reality and Collaborative Robots

Applied Sciences ◽

10.3390/app11094269 ◽

2021 ◽

Vol 11 (9) ◽

pp. 4269

Author(s):

Kamil Židek ◽

Ján Piteľ ◽

Michal Balog ◽

Alexander Hošovský ◽

Vratislav Hladký ◽

...

Keyword(s):

Mixed Reality ◽

Current Trend ◽

Robot Vision ◽

Processing Unit ◽

Single Shot ◽

Vision Systems ◽

Collaborative Robots ◽

Training Time ◽

Position And Orientation ◽

Collaborative Robot

The assisted assembly of customized products supported by collaborative robots combined with mixed reality devices is the current trend in the Industry 4.0 concept. This article introduces an experimental work cell with the implementation of the assisted assembly process for customized cam switches as a case study. The research is aimed to design a methodology for this complex task with full digitalization and transformation data to digital twin models from all vision systems. Recognition of position and orientation of assembled parts during manual assembly are marked and checked by convolutional neural network (CNN) model. Training of CNN was based on a new approach using virtual training samples with single shot detection and instance segmentation. The trained CNN model was transferred to an embedded artificial processing unit with a high-resolution camera sensor. The embedded device redistributes data with parts detected position and orientation into mixed reality devices and collaborative robot. This approach to assisted assembly using mixed reality, collaborative robot, vision systems, and CNN models can significantly decrease assembly and training time in real production.

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"Programming - It’s not for Normal People": A Qualitative Study on User-Empowering Interfaces for Programming Collaborative Robots

10.1109/ro-man50785.2021.9515535 ◽

2021 ◽

Author(s):

Georgia Giannopoulou ◽

Elsi-Mari Borrelli ◽

Fiona McMaster

Keyword(s):

Qualitative Study ◽

Collaborative Robots ◽

Normal People

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Factors Associated with COVID-19 Vaccine Hesitancy

Vaccines ◽

10.3390/vaccines9030300 ◽

2021 ◽

Vol 9 (3) ◽

pp. 300

Author(s):

Patricia Soares ◽

João Victor Rocha ◽

Marta Moniz ◽

Ana Gama ◽

Pedro Almeida Laires ◽

...

Keyword(s):

Health Status ◽

Vaccine Hesitancy ◽

Multinomial Regression ◽

Community Based ◽

Safety And Efficacy ◽

Perceived Safety ◽

Factors Associated ◽

Health Authorities ◽

Flu Vaccine ◽

Release Of Information

It is critical to develop tailored strategies to increase acceptability of the COVID-19 vaccine and decrease hesitancy. Hence, this study aims to assess and identify factors associated with COVID-19 vaccine hesitancy in Portugal. We used data from a community-based survey, “COVID-19 Barometer: Social Opinion”, which includes data regarding intention to take COVID-19 vaccines, health status, and risk perception in Portugal from September 2020 to January 2021. We used multinomial regression to identify factors associated with intention to delay or refuse to take COVID-19 vaccines. COVID-19 vaccine hesitancy in Portugal was high: 56% would wait and 9% refuse. Several factors were associated with both refusal and delay: being younger, loss of income during the pandemic, no intention of taking the flu vaccine, low confidence in the COVID-19 vaccine and the health service response during the pandemic, worse perception of government measures, perception of the information provided as inconsistent and contradictory, and answering the questionnaire before the release of information regarding the safety and efficacy of COVID-19 vaccines. It is crucial to build confidence in the COVID-19 vaccine as its perceived safety and efficacy were strongly associated with intention to take the vaccine. Governments and health authorities should improve communication and increase trust.

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