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About

Luis Paulo Reis is an Associate Professor at the University of Minho in Portugal and Director of LIACC â?? Artificial Intelligence and Computer Science Laboratory where he also coordinates the Human-Machine Intelligent Cooperation Research Group. He is a IEEE Senior Member and vice-president of both the Portuguese Society for Robotics and the Portuguese Association for Artificial Intelligence. During the last 25 years he has lectured courses, at the University, on Artificial Intelligence, Intelligent Robotics, Multi-Agent Systems, Simulation and Modelling, Educational/Serious Games and Computer Programming. He was principal investigator of more than 10 research projects in those areas. He won more than 50 scientific awards including wining more than 15 RoboCup international competitions and best papers at conferences such as ICEIS, Robotica, IEEE ICARSC and ICAART. He supervised 17 PhD and 95 MSc theses to completion. He organized more than 50 scientific events and belonged to the Program Committee of more than 250 scientific events. He is the author of more than 250 publications in international conferences and journals (indexed at SCOPUS or ISI Web of Knowledge).

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Publications

2022

Dutch Auction Based Approach for Task/Resource Allocation

Authors
Pereira, E; Reis, J; Goncalves, G; Reis, LP; Rocha, AP;

Publication
INNOVATIONS IN MECHATRONICS ENGINEERING

Abstract
The introduction of Cyber-Physical Systems (CPS) in the industry through the digitalization of equipment, also known as Digital Twins, allows for a more customized production. Due to high market fluctuation, the implementation of a CPS should guarantee a high flexibility in both hardware and software levels to achieve a high responsiveness of the system. The software reconfiguration, specifically, introduces a question: “With heterogeneous equipment with different capabilities - namely processing and memory capabilities - where a certain software module should execute?”; that question fits on the task/resource allocation area applied to CPS software reconfiguration. Although in task allocation issue several approaches address such a problem, only a few of them focus on CPS resources optimization. Given that, an approach based on the Dutch Auction algorithm is proposed, implemented at the CPS level enables the software reconfiguration of the CPS according to the existing equipment resources. This approach, besides the optimization of the CPS resources and the energy consumption, transforms the CPS in more reliable and fault-tolerant systems. As shown by the results, despite the demonstration of its suitability in task/resource allocation problems in decentralized architectures, the proposed approach also as a major advantage of quickly finding a near-optimal solution. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2022

Using Simulation to Evaluate a Tube Perception Algorithm for Bin Picking

Authors
Leao, G; Costa, CM; Sousa, A; Reis, LP; Veiga, G;

Publication
ROBOTICS

Abstract
Bin picking is a challenging problem that involves using a robotic manipulator to remove, one-by-one, a set of objects randomly stacked in a container. In order to provide ground truth data for evaluating heuristic or machine learning perception systems, this paper proposes using simulation to create bin picking environments in which a procedural generation method builds entangled tubes that can have curvatures throughout their length. The output of the simulation is an annotated point cloud, generated by a virtual 3D depth camera, in which the tubes are assigned with unique colors. A general metric based on micro-recall is proposed to compare the accuracy of point cloud annotations with the ground truth. The synthetic data is representative of a high quality 3D scanner, given that the performance of a tube modeling system when given 640 simulated point clouds was similar to the results achieved with real sensor data. Therefore, simulation is a promising technique for the automated evaluation of solutions for bin picking tasks.

2022

Disruption Management of ASAE's Inspection Routes

Authors
Ferreira, MM; Cardoso, HL; Reis, LP; Barros, T; Machado, JP;

Publication
ICAART: PROCEEDINGS OF THE 14TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 3

Abstract

2022

A Highly Customizable Information Visualization Framework

Authors
Spínola, L; Silva, DC; Reis, LP;

Publication
Computational Science - ICCS 2022 - 22nd International Conference, London, UK, June 21-23, 2022, Proceedings, Part II

Abstract

2022

A Highly Customizable Information Visualization Framework

Authors
Spínola, L; Silva, DC; Reis, LP;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
The human brain can quickly become overwhelmed by the amounts of data computers can process. Consequently, data abstraction is necessary for a user to grasp information and identify valuable patterns. Data is usually abstracted in a pictorial or graphical format. Nowadays, users demand more personalization from the systems they use. This work proposes a user-centered framework that aims to ease creating visualizations for the developers of a platform while offering the end-user a highly customizable experience. The conceptualized solution was prototyped and tested to ensure the information about the data is transmitted to the user in a quick and effective manner. The results of a user study showed that users are pleased with the usability of the prototype and prove that they desire control over the configuration of their visualizations. This work not only confirmed the usefulness of previously explored personalization options for visual representations, but also explored promising new personalization options. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.