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About

About

Paulo Costa received the M.Sc. and PhD in Electrical and Computer Engineering on Faculty of Engineering of University of Porto, Portugal in 95 and 2000. He joined Faculty of Engineering of University of Porto in 1992, and currently he is a Professor in the Electrical Engineering Department. He is also a senior researcher in Centre for Robotics in Industry and Intelligent Systems group of the INESC-TEC (Institute for Systems and Computer Engineering of Porto, Portugal). He has published more than a hundred papers in international scientific journals and conference proceedings. In addition, he participated in many autonomous mobile robotics competitions. Moreover, his research interests are in the field of robotics and automation: simulation, path planning, artificial vision, mobile robot localization and navigation, obstacle avoidance and perception. He participated in some national, International and H2020 funded projects such as PRODUTECH SIF, ScalABLE4.0, CARLoS and PNEUMA.

Interest
Topics
Details

Details

  • Name

    Paulo José Costa
  • Role

    Senior Researcher
  • Since

    01st June 2009
007
Publications

2023

Modelling of a Vibration Robot Using Localization Ground Truth Assisted by ArUCo Markers

Authors
Matos, D; Lima, J; Rohrich, R; Oliveira, A; Valente, A; Costa, P; Costa, P;

Publication
ROBOTICS IN NATURAL SETTINGS, CLAWAR 2022

Abstract
Simulators have been increasingly used on development and tests on several areas. They allow to speed up the development without damage and no extra costs. On realistic simulators, where kinematics play an important role, the modelling process should be imported for each component to be accurately simulated. Some robots are not yet modelled, as for example the Monera. This paper presents a model of a small vibration robot (Monera) that is acquired in a developed test-bed. A localisation ground truth is used to acquire the position of the Monera with actuating it. Linear and angular speeds acquired from real experiments allow to validate the proposed methodology.

2023

Hybrid Legged-Wheeled Robotic Platforms: Survey on Existing Solutions

Authors
Moreira, J; Soares, IN; Lima, J; Pinto, VH; Costa, P;

Publication
ROBOTICS IN NATURAL SETTINGS, CLAWAR 2022

Abstract
This survey analyses and compares ten different robots capable of hybrid locomotion in an attempt to elucidate the readers on several aspects of importance when designing and implementing a legged-wheeled vehicle. With this purpose in mind, the robots are compared based on their goals, kinematic configurations, joint specifications and overall performance. In this text, their variety and versatility is presented, justifying their use in real-world scenarios.

2023

Position Estimator for a Follow Line Robot: Comparison of Least Squares and Machine Learning Approaches

Authors
Matos, D; Mendes, J; Lima, J; Pereira, AI; Valente, A; Soares, S; Costa, P; Costa, P;

Publication
ROBOTICS IN NATURAL SETTINGS, CLAWAR 2022

Abstract
Navigation is one of the most important tasks for a mobile robot and the localisation is one of its main requirements. There are several types of localisation solutions such as LiDAR, Radio-frequency and acoustic among others. The well-known line follower has been a solution used for a long time ago and still remains its application, especially in competitions for young researchers that should be captivated to the scientific and technological areas. This paper describes two methodologies to estimate the position of a robot placed on a gradient line and compares them. The Least Squares and the Machine Learning methods are used and the results applied to a real robot allow to validate the proposed approach.

2023

Robot at Factory 4.0: An Auto-Referee Proposal Based on Artificial Vision

Authors
Ferreira, T; Braun, J; Lima, J; Pinto, VH; Santos, M; Costa, P;

Publication
ROBOT2022: FIFTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, VOL 1

Abstract
The robotization and automation of tasks are relevant processes and of great relevance to be considered nowadays. This work aims to turn the manual action of assigning the score for the robotic competition Robot at Factory 4.0 by an automatic referee. Specifically, the aim is to represent the real space in a set of computational information using computer vision, localization and mapping techniques. One of the crucial processes to achieve this goal involved the adaptive calibration of the parameters of a digital camera through visual references and tracking of objects, which resulted in a fully functional, robust and dynamic system that is capable of mapping the competition's objects accurately and correctly performing the referee's tasks.

2023

Robot at Factory Lite - A Step-by-Step Educational Approach to the Robot Assembly

Authors
Luiz, LE; Pilarski, L; Baidi, K; Braun, J; Oliveira, A; Lima, J; Costa, P;

Publication
ROBOT2022: FIFTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, VOL 1

Abstract
In a robotics scope, an excellent way to test and improve knowledge is through competitions. In other words, it is possible to follow the results in practice, compare them with the development of other teams and improve the current solutions. The Robot At Factory Lite proposal simulates an Industry 4.0 warehouse scenario, applying education through Science, Technology, Engineering, and Mathematics (STEM) methodology, where the participants have to work on a solution to overcome its challenges. Thus, this article presents an initial electromechanical proposal, which is the basis for developing robots for this competition. The presented main concepts aim to inform the possibilities of using the robot's parts and components. Thus, an idea can be sketched in the participants' minds, inspiring them to use their imagination and knowledge through the presentation of this model.

Supervised
thesis

2022

content based image retrieval as a computer aided diagnosis tool for radiologists

Author
José Ricardo Ferreira de Castro Ramos

Institution
UP-FEUP

2022

Digital Twin for Manufacturing Equipment in Industry 4.0

Author
Tomás Miguel Antero Moreno

Institution
UP-FEUP

2021

Automatic analysis of UAS-based multi-temporal data as support to a precision agroforestry management

Author
Luís Filipe Machado Pádua

Institution
UTAD

2021

Otimização do problema integrado de carregamento e roteamento de veículos de frota heterogénea

Author
Gerardo Guedes Saraiva de Menezes

Institution
UP-FEUP

2021

Diabetic Retinopathy Grading in Color Eye Fundus Images

Author
Teresa Manuel Sá Finisterra Araújo

Institution
UP-FEUP