Multisensor and Collaborative Localization for Diverse Environments

2011 ◽  
Author(s):  
Bjorn Bittins ◽  
Jurgen Sieck
Keyword(s):  
Collaborative Localization

Intelligent Collaborative Localization Among Air-Ground Robots for Industrial Environment Perception

2019 ◽  
Vol 66 (12) ◽  
pp. 9673-9681 ◽  
Author(s):  
Jianhua Zhang ◽  
Ruyu Liu ◽  
Kejie Yin ◽  
Zengyuan Wang ◽  
Mengping Gui ◽  
...  
Keyword(s):  
Industrial Environment ◽  
Environment Perception ◽  
Collaborative Localization

Mapping new translation practices into translation training

Babel ◽  
2019 ◽  
Vol 65 (5) ◽  
pp. 615-632
Author(s):  
María del Mar Sánchez Ramos
Keyword(s):  
Qualitative Analysis ◽  
Undergraduate Students ◽  
Technical Knowledge ◽  
Localization Task ◽  
The World ◽  
Specific Localization ◽  
Collaborative Localization ◽  
Collaborative Platform

Abstract Crowdsourcing and collaborative translation, activities emerging on the translation scene recently, are playing an increasingly important role in the world of professional translation and in the localization industry. This article focuses on a study carried out to analyze the perception of a group of translator trainees regarding these new translation practices. A total of 20 undergraduate students participated in the research and were asked to perform a collaborative localization task using an online collaborative platform. Data subjected to a quantitative and qualitative analysis suggest that online collaborative translation tasks enhance students’ motivation towards collaborative translation and help consolidate their technical knowledge about specific localization tools and files.

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