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About

I am a senior researcher with a degree in Electrical Engineering from University of Porto, Portugal (option of Digital and Computer Systems). Since 1996, I am responsible for Research and Technological Development projects in the Centre for Enterprise Systems Engineering (CESE) at INESC TE. Information Systems, Operations Management, Decision Support and Enterprise Collaborative Networks are my main areas of work. In this context, I have participated in national and European projects of applied research in close collaboration with other research institutions, technology centres, companies of the ICT sector and industrial companies from various sectors, among which stand out the textile, clothing and footwear sectors and the automotive industry. The following is a sample of European projects I was engaged with: AC/DC “Automotive Chassis Development for 5-Days-Cars”, eBiz-TCF “Harmonising e-Business processes and data exchanges for SMEs in the textile/clothing and footwear sectors in the Single Market”, STAMINA “Sustainable and reliable robotics for part handling in manufacturing automation”. Besides software-based prototypes, I published several articles in scientific journals, conference proceedings and book chapters.

Interest
Topics
Details

Details

011
Publications

2019

Testing the vertical and cyber-physical integration of cognitive robots in manufacturing

Authors
Krueger, V; Rovida, F; Grossmann, B; Petrick, R; Crosby, M; Charzoule, A; Garcia, GM; Behnke, S; Toscano, C; Veiga, G;

Publication
Robotics and Computer-Integrated Manufacturing

Abstract

2018

Enhancement of Industrial Logistic Systems with Semantic 3D Representations for Mobile Manipulators

Authors
Toscano, C; Arrais, R; Veiga, G;

Publication
Advances in Intelligent Systems and Computing

Abstract
This paper proposes a logistic planner with supplementary 3D spatial representations to enhance and interact with traditional logistic systems on the context of mobile manipulators performing internal logistics operations. By defining a hierarchical structure, the logistic world model, as the central entity synchronized between multiple system components, the reliability and accuracy of the logistic system is strengthened. The proposed approach aims at implementing a robust and intuitive solution for the set-up of mobile manipulator based logistic systems. The logistic planner includes a web based interface for fast setup of the warehouse layout based on robot sensing, as well as the definition of missions for the fleet of robotic systems. © Springer International Publishing AG 2018.

2017

A mobile robot based sensing approach for assessing spatial inconsistencies of a logistic system

Authors
Arrais, R; Oliveira, M; Toscano, C; Veiga, G;

Publication
Journal of Manufacturing Systems

Abstract
This paper demonstrates the potential benefits of the integration of robot based sensing and Enterprise Information Systems extended with information about the geometric location and volumetric information of the parts contained in logistic supermarkets. The comparison of this extended world model with hierarchical spatial representations produced by a fleet of robots traversing the logistic supermarket corridors enables the continuous assessment of inconsistencies between reality, i.e., the spatial representations collected from online 3D data, and the modelled information, i.e., the world model. Results show that it is possible to detect inconsistencies reliably and in real time. The proposed approach contributes to the development of more robust and effective Enterprise Information Systems. © 2017 The Society of Manufacturing Engineers

2017

Implementing cyber-physical systems in manufacturing

Authors
Barros, AC; Simões, AC; Toscano, C; Marques, A; Rodrigues, JC; Azevedo, A;

Publication
Proceedings of International Conference on Computers and Industrial Engineering, CIE

Abstract
Cyber-physical systems (CPS) are a new generation of systems that integrate computation and physical processes interacting with humans in different ways. Integrated networks of computers, sensors and similar technologies monitor and control the physical processes, reporting relevant data to planners and decision-makers, and vice versa. By means of case research, this paper analyzes the implementation of cyber-physical systems aiming at lead-time reduction in two manufacturing contexts, namely footwear and natural cork stoppers. The results of this research contribute to literature and practice with a conceptual framework for the implementation of cyber-physical systems and the discussion of the challenges of implementing this technology.

2016

A Hybrid Top-Down Bottom-Up Approach for the Detection of Cuboid Shaped Objects

Authors
Arrais, R; Oliveira, M; Toscano, C; Veiga, G;

Publication
IMAGE ANALYSIS AND RECOGNITION (ICIAR 2016)

Abstract
While bottom-up approaches to object recognition are simple to design and implement, they do not yield the same performance as top-down approaches. On the other hand, it is not trivial to obtain a moderate number of plausible hypotheses to be efficiently verified by top-down approaches. To address these shortcomings, we propose a hybrid top-down bottom-up approach to object recognition where a bottom-up procedure that generates a set of hypothesis based on data is combined with a top-down process for evaluating those hypotheses. We use the recognition of rectangular cuboid shaped objects from 3D point cloud data as a benchmark problem for our research. Results obtained using this approach demonstrate promising recognition performances.

Supervised
thesis

2015

Automatic inconsistency detection in a logistic world model (european project STAMINA)

Author
Rafael Lirio Arrais

Institution
UP-FEUP