José Barata

ORCID: 0000-0002-6348-1847
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About
Contact & Profiles
Research Areas
  • Flexible and Reconfigurable Manufacturing Systems
  • Digital Transformation in Industry
  • Scheduling and Optimization Algorithms
  • Manufacturing Process and Optimization
  • Product Development and Customization
  • Modular Robots and Swarm Intelligence
  • Advanced Manufacturing and Logistics Optimization
  • Collaboration in agile enterprises
  • Robotics and Sensor-Based Localization
  • Business Process Modeling and Analysis
  • Assembly Line Balancing Optimization
  • Service-Oriented Architecture and Web Services
  • Robotic Path Planning Algorithms
  • Industrial Vision Systems and Defect Detection
  • IoT and Edge/Fog Computing
  • Fault Detection and Control Systems
  • Multi-Agent Systems and Negotiation
  • Context-Aware Activity Recognition Systems
  • Robot Manipulation and Learning
  • Robotics and Automated Systems
  • Underwater Vehicles and Communication Systems
  • Petri Nets in System Modeling
  • Smart Agriculture and AI
  • Big Data and Business Intelligence
  • Visual Attention and Saliency Detection

Uninova
2016-2025

Universidade Nova de Lisboa
2016-2025

University of Lisbon
2015-2024

University of Pisa
2024

Centro Regional de Derechos Humanos y Justicia de Género, Corporación Humanas
2024

Northwestern University
2023

Rogers (United States)
2023

Fundação para a Ciência e Tecnologia
2023

Georgia Institute of Technology
2023

Northwestern University
2023

The advent of the Industry 4.0 initiative has made it so that manufacturing environments are becoming more and dynamic, connected but also inherently complex, with additional inter-dependencies, uncertainties large volumes data being generated. Recent advances in Industrial Artificial Intelligence have showcased potential this technology to assist manufacturers tackling challenges associated digital transformation Cyber-Physical Systems, through its data-driven predictive analytics capacity...

10.1109/access.2020.3042874 article EN cc-by IEEE Access 2020-01-01

Investment in technological research is imperative to stimulate the development of sustainable solutions for agricultural sector. Advances Internet Things, sensors and sensor networks, robotics, artificial intelligence, big data, cloud computing, etc. foster transition towards Agriculture 4.0 era. This fourth revolution currently seen as a possible solution improving growth, ensuring future needs global population fair, resilient way. In this context, article aims at characterising current...

10.3390/agronomy11040667 article EN cc-by Agronomy 2021-04-01

Progress in agricultural productivity and sustainability hinges on strategic investments technological research. Evolving technologies such as the Internet of Things, sensors, robotics, Artificial Intelligence, Machine Learning, Big Data, Cloud Computing are propelling sector towards transformative Agriculture 4.0 paradigm. The present systematic literature review employs Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) methodology to explore usage Learning...

10.3390/agronomy13122976 article EN cc-by Agronomy 2023-12-01

Nowadays, Service-oriented Architecture (SOA) paradigm is becoming a broadly deployed standard for business and enterprise integration. It continuously spreads across the diverse layers of organization disparate domains application envisioning unified communication solution. In industrial domain, Evolvable Production System (EPS) focus on identification guidelines solutions to support design, operation, maintenance, evolution complete infrastructures. Similarly several other domains,...

10.1109/tii.2011.2166779 article EN IEEE Transactions on Industrial Informatics 2011-09-15

Product dimensional variability is a crucial factor in the quality control of complex multistage manufacturing processes, where undetected defects can easily be propagated downstream. The recent advances information technologies and consequently increased volume data that has become readily available provide an excellent opportunity for development automated defect detection approaches are capable extracting implicit relationships these multivariate data-rich environments. In this paper,...

10.1109/access.2019.2923405 article EN cc-by IEEE Access 2019-01-01

Purpose Current major roadmapping efforts have all clearly underlined that true industrial sustainability will require far higher levels of systems' autonomy and adaptability. In accordance with these recommendations, the Evolvable Assembly Systems (EAS) has aimed at developing such technological solutions support mechanisms. Since its inception in 2002 as a next generation production systems, concept is being further developed tested to emerge system paradigm. The essence evolvability...

10.1108/01445151211212280 article EN Assembly Automation 2012-03-31

The emerging of the fourth industrial revolution, also known as Industry 4.0 (I4.0), from advancement in several technologies is viewed not only to promote economic growth, but enable a greener future. 2030 Agenda United Nations for sustainable development sets out clear goals industry foster economy, while preserving social well-being and ecological validity. However, influence I4.0 on achievement Sustainable Development Goals (SDG) has been conclusively or systematically investigated. By...

10.3390/su13052560 article EN Sustainability 2021-02-27

10.1016/j.engappai.2008.10.020 article EN Engineering Applications of Artificial Intelligence 2009-01-31

Service-oriented Architecture (SOA) is increasingly relevant across several domains of application by promising systems openness and unification over a common design communication paradigm. At device level, the SOA carried, on one hand, Devices Profile for Web Services (DPWS) complementary web-based specifications oriented towards resource management, and, other OPC Unified (OPC UA) framework. These are currently major candidates to be deployed at level in service-oriented industrial...

10.1109/indin.2010.5549676 article EN 2010-07-01

The new market trends are very different, so it is crucial to the companies improve tools and capabilities that allow themselves readjust rapidly effectively news changes requirements. In order facilitate this process, proposed in paper an agent based implementation can provide existent systems capacity quickly adapt reconfigure using standard technology. framework provides intelligent tool autonomously help configuration when a production operator pretends introduce variant of product...

10.1109/indin.2014.6945565 article EN 2014-07-01

The necessity of sustainability evaluation is rapidly growing alongside the expansion civilization. Likewise, supply chain suitability improvement a need that has arisen in petroleum industry, especially as it responsible for most part CO2 emissions atmosphere. modeling this kind problem deals with multiple criteria evaluations. This paper proposes an original multiple-criteria based approach to classifying degree organizational sustainability. proposal was applied evaluate representative...

10.3390/su6031107 article EN Sustainability 2014-02-27

The sea as a very extensive area, renders difficult pre-emptive and long-lasting search for shipwreck survivors. operational cost deploying manned teams with such proactive strategy is high and, thus, these are only reactively deployed when disaster like has been communicated. To reduce the involved financial costs, unmanned robotic systems could be used instead background surveillance patrolling seas. In this sense, team rescue (SAR) operations at presented in work. Composed of an Unmanned...

10.1109/oceans.2016.7761074 article EN 2016-09-01

The concept of smart manufacturing has attracted huge attention in the last years as an answer to increasing complexity, heterogeneity, and dynamism ecosystems. This vision embraces notion autonomous self-organized elements, capable self-management self-decision-making under a context-aware intelligent infrastructure. While dealing with dynamic uncertain environments, these solutions are also contributing generating social impact introducing sustainability into industrial equation thanks...

10.1109/access.2023.3240433 article EN cc-by IEEE Access 2023-01-01

Abstract Data management, particularly in industrial environments, is increasingly vital due to the necessity of handling ever-growing volumes information, commonly referred as big data. This survey delves into various papers comprehend practices employed within settings concerning data by searching for relevant keywords Q1 Journals related management manufacturing databases WebOfScience, Scopus and IEEE. Additionally, a contextual overview core concepts methods different aspects process was...

10.1007/s10845-025-02570-z article EN cc-by Journal of Intelligent Manufacturing 2025-02-15

In this article, an agent-based architecture in which cooperation is regulated by contracts proposed as a flexible approach to dynamic shop floor re-engineering. It describes the and of manufacturing agents, representing resources how they can be created from generic agent template. Agents' behaviour contract types structure are discussed. The first experimental results also introduced.

10.1504/ijnvo.2003.003518 article EN International Journal of Networking and Virtual Organisations 2003-01-01
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