Publicacoes - INESC TEC

Publicações

Publicações por CTM

2023

Enhanced Ultraviolet Spectroscopy by Optical Clearing for Biomedical Applications (vol 27, 7200108, 2021)

Autores
Carneiro, I; Carvalho, S; Henrique, R; Selifonov, A; Oliveira, L; Tuchin, VV;

Publicação
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS

Abstract

2023

Discrete Representation of Photovoltaic Modules

Autores
Massaranduba, AB; Coelho, B; Machado, E; Silva, E; Pinto, A;

Publicação
IEEE Latin America Transactions

Abstract

2023

Parkinson’s disease effective biomarkers based on Hjorth features improved by machine learning

Autores
Coelho, BFO; Massaranduba, ABR; Souza, CAdS; Viana, GG; Brys, I; Ramos, RP;

Publicação
Expert Systems with Applications

Abstract

2023

Artifact removal for emotion recognition using mutual information and Epanechnikov kernel

Autores
Grilo, M; Moraes, CP; Oliveira Coelho, BF; Massaranduba, ABR; Fantinato, D; Ramos, RP; Neves, A;

Publicação
Biomedical Signal Processing and Control

Abstract

2023

FLOOR - Forklift Laser OmnidirectiOnal Robot

Autores
Pinto, VH; Ribeiro, FM; Brito, T; Pereira, AI; Lima, J; Costa, P;

Publicação
2023 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS, ICARSC

Abstract
The robot presented in this paper was developed with the main focus on participating in robotic competitions. Therefore, the subsystems here presented were developed taking into account performance criteria instead of simplicity. Nonetheless, this paper also presents background knowledge in some basic concepts regarding robot localization, navigation, color identification and control, all of which are key for a more competitive robot.

FecharLer Abstract

2023

Data Fusion Using Ultra Wideband Time-of-Flight Positioning for Mobile Robot Applications

Autores
Lima, J; Pinto, AF; Ribeiro, F; Pinto, M; Pereira, AI; Pinto, VH; Costa, P;

Publicação
2023 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS, ICARSC

Abstract
Self-localization of a robot is one of the most important requirements in mobile robotics. There are several approaches to providing localization data. The Ultra Wide Band Time of Flight provides position information but lacks the angle. Odometry data can be combined by using a data fusion algorithm. This paper addresses the application of data fusion algorithms based on odometry and Ultra Wide Band Time of Flight positioning using a Kalman filter that allows performing the data fusion task which outputs the position and orientation of the robot. The proposed solution, validated in a real developed platform can be applied in service and industrial robots.

FecharLer Abstract