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About

I'm Antonio Valente and I was graduated in Electrical Engineering from University of Trás-os-Montes and Alto Douro (UTAD), Portugal in 1994, and in 1999 I've taked a MsC degree in Industrial Electronics from University of Minho, Portugal. I've obtained in 2003 a PhD degree at UTAD, working in the field of micro-systems for agriculture. Presently, I'm an Associate Professor with Habilitation in the Department of Engineering, UTAD, and director of the same department. I'm a senior researcher at Institute for Systems and Computer Engineering - Technology and Science (INESC TEC). I was chairman of ICARSC 2015 and local organizer of Robótica 2015, Vila Real, Portugal. I'm also the organizer of Portuguese Micromouse Contest (robotics competition organized annually). My professional interests are in sensors, MEMS sensors, microcontrollers, and embedded systems, with application focus to agriculture.

Interest
Topics
Details

Details

002
Publications

2021

Delivering Critical Stimuli for Decision Making in VR Training: Evaluation Study of a Firefighter Training Scenario

Authors
Monteiro, P; Melo, M; Valente, A; Vasconcelos Raposo, J; Bessa, M;

Publication
IEEE Transactions on Human-Machine Systems

Abstract

2021

An Intelligent Predictive Maintenance Approach Based on End-of-Line Test Logfiles in the Automotive Industry

Authors
Vicêncio, D; Silva, H; Soares, S; Filipe, V; Valente, A;

Publication
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Industrial IoT Technologies and Applications

Abstract

2021

Environment Monitoring Modules with Fire Detection Capability Based on IoT Methodology

Authors
Brito T.; Azevedo B.F.; Valente A.; Pereira A.I.; Lima J.; Costa P.;

Publication
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Science and Technologies for Smart Cities

Abstract

2021

A Case Study on Improving the Software Dependability of a ROS Path Planner for Steep Slope Vineyards

Authors
Santos, LC; Santos, A; Santos, FN; Valente, A;

Publication
Robotics

Abstract
Software for robotic systems is becoming progressively more complex despite the existence of established software ecosystems like ROS, as the problems we delegate to robots become more and more challenging. Ensuring that the software works as intended is a crucial (but not trivial) task, although proper quality assurance processes are rarely seen in the open-source robotics community. This paper explains how we analyzed and improved a specialized path planner for steep-slope vineyards regarding its software dependability. The analysis revealed previously unknown bugs in the system, with a relatively low property specification effort. We argue that the benefits of similar quality assurance processes far outweigh the costs and should be more widespread in the robotics domain.

2021

Smarter robotic sprayer system for precision agriculture

Authors
Baltazar, AR; dos Santos, FN; Moreira, AP; Valente, A; Cunha, JB;

Publication
Electronics (Switzerland)

Abstract
The automation of agricultural processes is expected to positively impact the environment by reducing waste and increasing food security, maximising resource use. Precision spraying is a method used to reduce the losses during pesticides application, reducing chemical residues in the soil. In this work, we developed a smart and novel electric sprayer that can be assembled on a robot. The sprayer has a crop perception system that calculates the leaf density based on a support vector machine (SVM) classifier using image histograms (local binary pattern (LBP), vegetation index, average, and hue). This density can then be used as a reference value to feed a controller that determines the air flow, the water rate, and the water density of the sprayer. This perception system was developed and tested with a created dataset available to the scientific community and represents a significant contribution. The results of the leaf density classifier show an accuracy score that varies between 80% and 85%. The conducted tests prove that the solution has the potential to increase the spraying accuracy and precision.

Supervised
thesis

2021

Advanced 2.5D Path Planning for agricultural robots

Author
Luís Carlos Feliz Santos

Institution
UTAD

2020

Advanced 2.5D Path Planning for agricultural robots

Author
Luís Carlos Feliz Santos

Institution
UTAD

2020

Não robot applied to the development of cognitive skills

Author
Ana Maria da Cruz Freire

Institution
UP-FEUP

2019

SENSORES INERCIAIS E SISTEMAS INTELIGENTES NA ANÁLISE DA EFICIÊNCIA DAS AÇÕES TÉCNICAS EM DESPORTO: A OTIMIZAÇÃO DOS PADRÕES TÉCNICOS DE ESGRIMA

Author
Ana Teresa de Oliveira Campaniço

Institution
UTAD

2018

SENSORES INERCIAIS E SISTEMAS INTELIGENTES NA ANÁLISE DA EFICIÊNCIA DAS AÇÕES TÉCNICAS EM DESPORTO: A OTIMIZAÇÃO DOS PADRÕES TÉCNICOS DE ESGRIMA

Author
Ana Teresa Oliveira Campaniço

Institution
UTAD