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About

Born at Porto, Portugal, April  6, 1973, received the M.Sc.in Electrical and Computer Engineering on Faculty of Engineering of University of Porto, Portugal in 1999. He obtained a Ph.D. in Electrical and Computer Engineering on Faculty of Engineering of University of Porto in the area of Control and Robotics, with the thesis “Planning Cooperative tasks and trajectories in Multiple Robots” in 2011. Presently he is a Professor at Computers and Electrical Engineering Department of the Oporto University. He is also a researcher in Robotic and Intelligent Systems of the INESC-TEC (Institute for Systems and Computer Engineering of Porto, Portugal). His research interests are in the ï¬�eld of robotics and automation: path planning, obstacle avoidance, simulation, navigation, manipulator, mobile manipulators. 

Interest
Topics
Details

Details

004
Publications

2019

Collaborative Welding System using BIM for Robotic Reprogramming and Spatial Augmented Reality

Authors
Tavares, P; Costa, CM; Rocha, L; Malaca, P; Costa, P; Moreira, AP; Sousa, A; Veiga, G;

Publication
Automation in Construction

Abstract
The optimization of the information flow from the initial design and through the several production stages plays a critical role in ensuring product quality while also reducing the manufacturing costs. As such, in this article we present a cooperative welding cell for structural steel fabrication that is capable of leveraging the Building Information Modeling (BIM) standards to automatically orchestrate the necessary tasks to be allocated to a human operator and a welding robot moving on a linear track. We propose a spatial augmented reality system that projects alignment information into the environment for helping the operator tack weld the beam attachments that will be later on seam welded by the industrial robot. This way we ensure maximum flexibility during the beam assembly stage while also improving the overall productivity and product quality since the operator no longer needs to rely on error prone measurement procedures and he receives his tasks through an immersive interface, relieving him from the burden of analyzing complex manufacturing design specifications. Moreover, no expert robotics knowledge is required to operate our welding cell because all the necessary information is extracted from the Industry Foundation Classes (IFC), namely the CAD models and welding sections, allowing our 3D beam perception systems to correct placement errors or beam bending, which coupled with our motion planning and welding pose optimization system ensures that the robot performs its tasks without collisions and as efficiently as possible while maximizing the welding quality. © 2019 Elsevier B.V.

2019

Path Planning approach with the extraction of Topological Maps from Occupancy Grid Maps in steep slope vineyards

Authors
Santos, L; Santos, FN; Magalhaes, S; Costa, P; Reis, R;

Publication
19th IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2019

Abstract
Robotic platforms are being developed for precision agriculture, to execute repetitive and long term tasks. Autonomous monitoring, pruning, spraying and harvesting are some of these agricultural tasks, which requires an advanced path planning system aware of maximum robot capabilities (mobile platform and arms), terrain slopes and plant/fruits position. The state of the art path planning systems have two limitations: are not optimized for large regions and the path planning is not aware of agricultural tasks requirements. This work presents two solutions to overcome these limitations. It considers the VGR2TO (Vineyard Grid Map to Topological) approach to extract from a 2D grid map a topological map, to reduce the total amount of memory needed by the path planning algorithm and to reduce path search space. Besides, introduces an extension to the chosen algorithm, the Astar algorithm, to ensure a safe path and a maximum distance from the vine trees to enable robotic operations on the tree and its fruits. © 2019 IEEE.

2018

The K-framed quadtrees approach for path planning through a known environment

Authors
Rodrigues, A; Costa, P; Lima, J;

Publication
Advances in Intelligent Systems and Computing

Abstract
One of the most important tasks for a mobile robot is to navigate in an environment. The path planning is required to design the trajectory that generates useful motions from the original to the desired position. There are several methodologies to perform the path planning. In this paper, a new method of approximate cells decomposition, called K-Framed Quadtrees is present, to which the algorithm A ? is applied to determine trajectories between two points. To validate the new approach, we made a comparative analysis between the present method, the grid decomposition, quadtree decomposition and framed quadtree decomposition. Results and implementation specifications of the four methods are presented. © 2018, Springer International Publishing AG.

2018

Poses Optimisation Methodology for High Redundancy Robotic Systems

Authors
Tavares, P; Costa, P; Veiga, G; Moreira, AP;

Publication
ROBOT 2017: Third Iberian Robotics Conference - Advances in Intelligent Systems and Computing

Abstract

2018

Dynamic Collision Avoidance System for a Manipulator Based on RGB-D Data

Authors
Brito, T; Lima, J; Costa, P; Piardi, L;

Publication
ROBOT 2017: Third Iberian Robotics Conference - Advances in Intelligent Systems and Computing

Abstract

Supervised
thesis

2017

Sensorização 3D e Controlo de Manipuladores Industriais através de uma plataforma de baixo custo

Author
Ana Catarina Bastos Simões

Institution
UP-FEUP

2017

Planeamento de trajetórias e controlo de um robô omnidirecional

Author
Ana Rita Marques Rodrigues

Institution
UP-FEUP

2017

Planeamento de trajetórias em ambientes agrícolas

Author
Luís Carlos Feliz Santos

Institution
UP-FEUP

2017

Ensinamento de um manipulador dual-arm para tarefas de assemblagem

Author
Patrick de Sousa

Institution
UP-FEUP

2016

Metodologias de calibração de projetores para aplicações robóticas de projection mapping

Author
Marta Ventura e Costa

Institution
UP-FEUP