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Enrique Paz
Researcher at University of Vigo
Publications - 18
Citations - 308
Enrique Paz is an academic researcher from University of Vigo. The author has contributed to research in topics: Mobile robot & Debugging. The author has an hindex of 9, co-authored 16 publications receiving 223 citations.
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Traceability management systems and capacity building as new approaches for improving sustainability in the fashion multi-tier supply chain
TL;DR: In this paper, a content analysis on the last six sustainability reports of the four largest companies in the fast fashion industry was conducted to find out how leading fast fashion companies are promoting sustainability in terms of relationships and practices developed upstream in supply chains.
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WatchBot: A building maintenance and surveillance system based on autonomous robots
TL;DR: A multi-robot system for building maintenance and surveillance applications over the Internet that was developed with the Robotics Integrated Development Environment and was tested intensively in different environments.
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Efficiency and sustainability through the best practices in the Logistics Social Responsibility framework
TL;DR: In this article, a systematic literature review has been applied, with an analysis of 194 papers from relevant logistics/supply chain management (SCM)-related journals over a 20-year time frame.
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High flow priapism: diagnosis and treatment in pediatric population
Juan Pablo Corbetta,Víctor Durán,Carol Burek,Cristian Sager,Santiago Weller,Enrique Paz,Juan Carlos López +6 more
TL;DR: Absence of long-term damaging effects of arterial HFP on erectile tissue combined with the possibility of spontaneous resolution associated with blunt perineal trauma are suggestive signs for the introduction of an observation period in the management algorithm of HFP.
Proceedings ArticleDOI
Using hierarchical binary Petri nets to build robust mobile robot applications: RoboGraph
TL;DR: This work proposes to use hierarchical interpreted binary Petri nets to coordinate the activity of several independent modules that implement primitive actions and report events about their state in mobile robot control frameworks.