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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.

Interest
Topics
Details

Details

  • Name

    Carlos Filipe Gonçalves
  • Role

    Researcher
  • Since

    23rd November 2016
005
Publications

2023

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

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

Publication
2023 IEEE International Symposium on Underwater Technology, UT 2023

Abstract
This paper describes a robotic system to detect and estimate the volume of sediments in underwater wall corners, in scenarios with zero visibility. All detection and positioning is based on data from a scanning sonar. The main idea is to scan the walls and the bottom of the structure to detect the corner, and then use data obtained in the direction of the corner to estimate the presence of sediment accumulation and its volume. Our approach implements an image segmentation to extract range from the surfaces of interest. The resulting data is then employed for relative localization and estimate of the sediment accumulation. The paper provides information about the methodologies developed and data from practical experiments. © 2023 IEEE.

2023

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

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

Publication
2023 IEEE UNDERWATER TECHNOLOGY, UT

Abstract
This paper describes a robotic system to detect and estimate the volume of sediments in underwater wall corners, in scenarios with zero visibility. All detection and positioning is based on data from a scanning sonar. The main idea is to scan the walls and the bottom of the structure to detect the corner, and then use data obtained in the direction of the corner to estimate the presence of sediment accumulation and its volume. Our approach implements an image segmentation to extract range from the surfaces of interest. The resulting data is then employed for relative localization and estimate of the sediment accumulation. The paper provides information about the methodologies developed and data from practical experiments.

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
This paper describes a system designed to collect water samples, from the surface down to a configurable depth, and with configurable profiles of vertical velocity. The design was intended for the analysis of suspended sediments, therefore the sampling can integrate water flow for a given depth profile, or at a specific depth. The system is based on a catamaran-shaped platform, from which a towfish is lowered to collect the water samples. The use of a surface vehicle ensures a permanent link between the operator and the full system, allowing for a proper mission supervision. All components can be remotely controlled from the control station, or programmed for fully autonomous operation. Although the main intended use is for the analysis of suspended sediments in rivers, it can easily be extended to collect water samples in other water bodies.

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
Underwater sensing and mapping operations using autonomous vehicles are becoming widely used. This article describes an automated system to launch and recover an AUV. It can operate in any host platform and can transport any torpedo-shaped vehicle with 0.2 meters of diameter, length up to 3 meters and weight up to 1000 N. The system ensures a restrained transportation of the vehicle and guarantees that it performs a smooth entrance in the water. It was instrumented for continuous status remote monitoring, using linear and angular motion sensors, as well as enables to remotely take control over the operation. Experimental results carried out within the XPRIZE competition demonstration scope are presented.

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
FLEXUS unmanned surface vehicle was designed in the context of the Internet of Moving Things. This small catamaran weights less than 15kg and is less than 1m long, making it a very convenient vehicle with reduced logistics needs for operations in real outdoor environments. The present paper describes the resulting system both in terms of design and performances. Based on the requirements for this project, the subsystems composing the vehicle are described. Results obtained from experiments conducted in outdoor conditions have successfully validated this design and are presented in this paper.