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About

About

My name is Carlos Gonçalves and I was born and raised in Bragança, Portugal. After finished the secondary education, I went to study Electrical and Computers Engineering in Faculty of Engineering of the University of Porto (FEUP), where I received my integrated master degree, in 2016, with major in automation and specialization in robotics. Besides attending this program, I also worked in the field of electronics technical support and in the electromechanical field, namely the development and production of mechanical parts by using CAD/CAM software and programming and operation of CNC machines. These works give me a further experience.

My MSc Dissertation was related to design and development of a small autonomous underwater vehicle (AUV) which resulted in the robot SHAD. After my graduation, I became INESC TEC researcher and my interests remain automation, electronics and robotics systems. My activity is focused on developing innovative solutions for aquatic robotic platforms.

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Publications

2023

Estimation of Sediments in Underwater Wall Corners using a Mechanical Scanning Sonar

Authors
Gonçalves, CF; Cruz, NA; Ferreira, BM;

Publication
2023 IEEE Underwater Technology (UT)

Abstract

2022

An Autonomous System for Collecting Water Samples from the Surface

Authors
Pinto, AF; Cruz, NA; Ferreira, BM; Abreu, NM; Goncalves, CE; Villa, MP; Matos, AC; Honorio, LD; Westin, LG;

Publication
OCEANS 2022

Abstract

2018

ALARS - Automated Launch And Recovery System for AUVs

Authors
Pinto, VH; Cruz, NA; Almeida, RM; Goncalves, CF;

Publication
OCEANS 2018 MTS/IEEE CHARLESTON

Abstract

2017

Flexible unmanned surface vehicles enabling future internet experimentally-driven research

Authors
Ferreira, B; Coelho, A; Lopes, M; Matos, A; Goncalves, C; Kandasamy, S; Campos, R; Barbosa, J;

Publication
OCEANS 2017 - Aberdeen

Abstract

2017

Cooperative deep water seafloor mapping with heterogeneous robotic platforms

Authors
Cruz, N; Abreu, N; Almeida, J; Almeida, R; Alves, J; Dias, A; Ferreira, B; Ferreira, H; Goncalves, C; Martins, A; Melo, J; Pinto, A; Pinto, V; Silva, A; Silva, H; Matos, A; Silva, E;

Publication
OCEANS 2017 - Anchorage

Abstract
This paper describes the PISCES system, an integrated approach for fully autonomous mapping of large areas of the ocean in deep waters. A deep water AUV will use an acoustic navigation system to compute is position with bounded error. The range limitation will be overcome by a moving baseline scheme, with the acoustic sources installed in robotic surface vessels with previously combined trajectories. In order to save power, all systems will have synchronized clocks and implement the One Way Travel Time scheme. The mapping system will be a combination of an off-the-shelf MBES with a new long range bathymetry system, with a source on a moving surface vessel and the receivers on board the AUV. The system is being prepared to participate in round one of the XPRIZE challenge. © 2017 Marine Technology Society.