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About

Germano Veiga is a Mechanical Engineer with a PhD in Mechanical Engineering (Robotics and Automation) (2010) by the University of Coimbra.
In 2005 he was an invited researcher at the University of Lund, Sweden, and was a researcher (2002-2011) and Invited Professor (2007-2011) at the University of Coimbra.
He is now Senior Researcher at INESC TEC, in Porto, and from 2016 is Auxiliar Professor at the Faculty of Engineering of the University of Porto.
His research interests are mostly focused on future industrial robotics including, plug-and-produce technologies,
robot programming, mobile manipulators and Human Robot Interfacing. During his PhD studies Germano was part of the FP6 SMErobot team (2005-2009) and later became member of the Exec. Committee of the FP7 ECHORD project (2009-2012)
More recently Germano became the coordinator of the INESC-TEC team participating in the projects FP7-CARLoS, FP7-STAMINA, FP7-SMErobotics, H2020-ColRobot.
Since January 2017 he is the Coordinator of the H2020 ScalABLE4.0 project.

Interest
Topics
Details

Details

024
Publications

2021

Force control heuristics for surpassing pose uncertainty in mobile robotic assembly platforms

Authors
Moutinho, D; Rebelo, P; Costa, C; Rocha, L; Veiga, G;

Publication
2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)

Abstract

2021

A* Based Routing and Scheduling Modules for Multiple AGVs in an Industrial Scenario

Authors
Santos, J; Rebelo, PM; Rocha, LF; Costa, P; Veiga, G;

Publication
Robotics

Abstract
A multi-AGV based logistic system is typically associated with two fundamental problems, critical for its overall performance: the AGV’s route planning for collision and deadlock avoidance; and the task scheduling to determine which vehicle should transport which load. Several heuristic functions can be used according to the application. This paper proposes a time-based algorithm to dynamically control a fleet of Autonomous Guided Vehicles (AGVs) in an automatic warehouse scenario. Our approach includes a routing algorithm based on the A* heuristic search (TEA*—Time Enhanced A*) to generate free-collisions paths and a scheduling module to improve the results of the routing algorithm. These modules work cooperatively to provide an efficient task execution time considering as basis the routing algorithm information. Simulation experiments are presented using a typical industrial layout for 10 and 20 AGVs. Moreover, a comparison with an alternative approach from the state-of-the-art is also presented.

2021

On the development of a collaborative robotic system for industrial coating cells

Authors
Arrais, R; Costa, CM; Ribeiro, P; Rocha, LF; Silva, M; Veiga, G;

Publication
The International Journal of Advanced Manufacturing Technology

Abstract

2020

Autonomous Robot Navigation for Automotive Assembly Task: An Industry Use-Case

Authors
Sobreira, H; Rocha, L; Lima, J; Rodrigues, F; Moreira, AP; Veiga, G;

Publication
Advances in Intelligent Systems and Computing - Robot 2019: Fourth Iberian Robotics Conference

Abstract

2020

Applying Software Static Analysis to ROS: The Case Study of the FASTEN European Project

Authors
Neto, T; Arrais, R; Sousa, A; Santos, A; Veiga, G;

Publication
Robot 2019: Fourth Iberian Robotics Conference - Advances in Robotics, Volume 1, Porto, Portugal, 20-22 November, 2019.

Abstract

Supervised
thesis

2020

Implementação da estruturação automática de programas PLC de controlo de transportadores seguindo a metodologia do grupo Korber na Consoveyo S.A.

Author
Paulo André Vaz Lopes

Institution
UP-FEUP

2020

Force based robotized assembly – mobile manipulator use case

Author
Duarte Alão Magalhães Silva Moutinho

Institution
UP-FEUP

2020

Open Scalable Production System: An Industry 4.0 Framework for Cyber-Physical Systems

Author
Rafael Lirio Arrais

Institution
UP-FEUP

2020

Desenvolvimento de uma solução de bin-picking robotizada

Author
Nuno Alexandre Moreira do Rosário

Institution
UP-FEUP

2020

Desenvolvimento de uma aplicação para geração automática de código para o PLC de controlo de elevadores

Author
Cristina Lírio Ferreira

Institution
UP-FEUP