Rok Vrabič

ORCID: 0000-0003-1720-9145
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About
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Research Areas
  • Digital Transformation in Industry
  • Flexible and Reconfigurable Manufacturing Systems
  • Manufacturing Process and Optimization
  • Scheduling and Optimization Algorithms
  • Product Development and Customization
  • Advanced Manufacturing and Logistics Optimization
  • Modular Robots and Swarm Intelligence
  • Blockchain Technology Applications and Security
  • Advanced machining processes and optimization
  • Design Education and Practice
  • Industrial Vision Systems and Defect Detection
  • Robot Manipulation and Learning
  • Augmented Reality Applications
  • Robotic Path Planning Algorithms
  • IoT and Edge/Fog Computing
  • Fault Detection and Control Systems
  • Advanced Surface Polishing Techniques
  • Iterative Learning Control Systems
  • Mobile Crowdsensing and Crowdsourcing
  • Business Process Modeling and Analysis
  • Collaboration in agile enterprises
  • Big Data and Business Intelligence
  • Optimization and Search Problems
  • Knowledge Management and Sharing
  • Smart Grid Energy Management

University of Ljubljana
2014-2025

Northwestern University
2023

National Laboratory of Health, Environment and Food
2018

Digital twins are digital representations of physical products or systems that consist multiple models from various domains describing them on scales. By means communication, change and evolve together with their counterparts throughout lifecycle. Domain-specific partial make up the twin, such as CAD model degradation model, usually well known provide accurate descriptions certain parts asset. However, in complex systems, value integrating increases because it facilitates study behaviours...

10.1016/j.promfg.2018.10.167 article EN Procedia Manufacturing 2018-01-01

Digital Twin (DT) is a ‘living’ entity that offers potential with monitoring and improving functionality of interconnected complex engineering systems (CESs). However, lack approaches for adaptively connecting the existing brownfield their data limits use DTs. This paper develops new DT design framework uses ontologies to enable co-evolution CES by capturing in terms variety, velocity, volume across asset life-cycle. The has been tested successfully on helicopter gearbox demonstrator mobile...

10.1016/j.cirp.2020.04.086 article EN cc-by CIRP Annals 2020-01-01

This paper presents an approach to integrating Blockchain and IoT technologies into modern supply chains. We propose the concept of a new logistics platform that is built as distributed network nodes offers alternative dealing with complexity chains by breaking them smaller, functionally independent parts. The modular structure allows users add their own or extend functionality existing ones. Nodes are communicating use technology, which serves bridge between virtual real worlds, making this...

10.1016/j.procir.2019.03.207 article EN Procedia CIRP 2019-01-01

With the intensive development and implementation of information communication technologies in manufacturing, large amounts heterogeneous data are now being generated, gathered stored. Handling complex – often referred to as big represents a challenge there many new approaches, methods, techniques, tools for analytics that open up possibilities exploiting by converting them into useful and/or knowledge.However, application advanced manufacturing lags behind terms penetration diversity...

10.1080/0951192x.2020.1718765 article EN cc-by-nc-nd International Journal of Computer Integrated Manufacturing 2020-02-01

Model-based definition and augmented reality are two emerging technologies, which enable a faster product development cycle better dimensional control. They an enabler of industry 4.0, way to transfer the data user. Although each technologies is well researched, their combination presents challenge from research perspective. enables manufacturing be used in downstream processes, include quality control inspection. We developed presented method that information 3D model displays graphical...

10.1016/j.procir.2019.03.208 article EN Procedia CIRP 2019-01-01

In the context of advanced manufacturing, new models inspired by Internet technologies are being developed. The cloud manufacturing model strives to offer a similar experience for seekers services as computing does users web: clouds intend resources services, much like processing power and storage space available in computing. resulting business situation is favourable both service providers end-users, especially highly dynamic environment. Existing operate centralised way through platform,...

10.1080/0951192x.2015.1066861 article EN International Journal of Computer Integrated Manufacturing 2015-07-13

Increasing the accessibility of collaborative robotics requires interfaces that support intuitive teleoperation. One possibility for an interface is offered by wearable systems measure operator’s movement and use information robot control. Such should preserve capabilities and, thus, their ability to flexibly operate in workspace. This paper presents a novel wireless system uses only inertial measurement units (IMUs) determine orientation upper body parts. An algorithm was developed...

10.3390/s21175871 article EN cc-by Sensors 2021-08-31

The aim of this paper is to contribute complex systems thinking in manufacturing organisations through the development a metric for operational complexity. Operational complexity concerned with temporal aspects coordination and control systems. Statistical from computational mechanics theory proposed as metric. can potentially be used support decision making by objective assessment properties are explored simulation studies. results confirm that captures intuitive notion It shown influenced...

10.1080/00207543.2011.575098 article EN International Journal of Production Research 2011-07-15

Remote diagnosis procedures are prone to communication errors due varying levels of experience and knowledge between expert maintainers technicians. These result in inefficiencies that delay the process. The aim paper is develop a Structured-Message Authoring framework for Augmented Reality (AR) Communication (SMAARRC) evaluate its ability enhance efficiency remote services. proposes message structure automatic AR content creation rules it enable data capture sharing within context....

10.1016/j.aei.2020.101096 article EN cc-by Advanced Engineering Informatics 2020-04-08

In intralogistics, autonomous mobile robots (AMRs) operate without predefined paths, leading to complex traffic patterns and potential conflicts that impact system efficiency. This paper proposes a bio-inspired optimization method for autonomously generating spatial movement constraints (AMRs). Unlike traditional multi-agent pathfinding (MAPF) approaches, which focus on temporal coordination, our approach proactively reduces by adapting weighted directed grid graph improve flow. is achieved...

10.3390/app15052849 article EN cc-by Applied Sciences 2025-03-06

Manufacturing data offers big potential for improving management of manufacturing operations. The paper addresses an approach to analytics in engineer-to-order (ETO) systems where the product quality and due-date reliability play a key role decisionmaking. objective research is investigate which are collected by execution system (MES) during operations ETO enterprise develop tools supporting scheduling developed can be used simulation production forecasting resource overloads.

10.1016/j.procir.2018.03.098 article EN Procedia CIRP 2018-01-01

In this age of globalisation and digitalisation, industry is evolving from a physical space information flow towards two-way communication between virtual space. The challenge that research aims to resolve is: 'how can system adjust itself the constantly changing conditions influences operational dynamics maintenance in industry?'. This article presents an augmented reality (AR) assisted digital twin (DT) solution be used calibrate mobile robots environments. DT was achieved by providing...

10.1016/j.ifacol.2020.11.033 article EN IFAC-PapersOnLine 2020-01-01

Strong operations support is one of the key requirements for competitive success modern manufacturing organisations. An important aspect Statistical Process Control (SPC); use statistical methods monitoring and control processes products. However, implementation SPC requires a certain amount knowledge understanding. Although this not an issue big companies (e.g. in automotive sector), smaller are unable to provide required in-house. In paper, service-driven approach proposed, which...

10.1016/j.procir.2013.06.006 article EN Procedia CIRP 2013-01-01

The complexity of manufacturing systems is increasing due to the increased requirements related variety and quality products, their complexity, general technological developments. In turn, data processes growing in size complexity. This presents new challenges for real-time monitoring, diagnostics, prognostics processes. are addressed by tools, methodologies, concepts, collectively referred as Big Data. paper deals with use advanced methods infrequent faults on available but highly...

10.1016/j.procir.2017.03.109 article EN Procedia CIRP 2017-01-01

In manufacturing processes the automated identification of faulty operating conditions that might lead to insufficient product quality and reduced availability equipment is an important challenging task. This paper proposes a data mining approach complex faults, i.e. unplanned machine stops in plastic injection molding. Several methods are considered, with focus on abilities reveal patterns interpretation induced models objective find method best corresponds nature plastic-injection-molding...

10.1016/j.procir.2019.03.204 article EN Procedia CIRP 2019-01-01
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