Simultaneous Localization and Mapping (SLAM)
Curso de Formação
Ano Letivo 2025/2026

Course Overview

Simultaneous Localization and Mapping (SLAM) technology is essential for the operation of robotic systems and autonomous vehicles in unknown and dynamic environments. Understanding the fundamental principles of SLAM enables the development of solutions that integrate spatial perception with intelligent navigation, using data from sensors such as LiDAR, cameras, and IMUs. This module explores the different types of sensors used in SLAM, allowing students to gain practical skills in the development of robotic applications. It covers data processing techniques to improve the accuracy of localization and mapping, as well as the implementation of algorithms such as visual odometry and GraphSLAM in Python. By the end of the course, students will be able to design and apply SLAM solutions in real-world scenarios, such as mobile robots and autonomous drones, expanding their capabilities in the field of modern robotics.

Organic Unit: School of Science and Technology

Duration: 4 Weeks/3 ECTS credits ( required in curricular units)

Language: Portuguese

Regime: B-learning

CNAEF Areas:

Computer science (481)

Study Plan

For Whom

Aerospace industry professionals; non-specialized audiences within the aerospace industry; and professionals from other fields who seek training in the offered area, wish to complement their existing knowledge, or intend to enter the aerospace industry. Master?s, PhD, or third-year undergraduate students who wish to acquire knowledge in the offered area.

Vacancies and Applications

Tuition Fees

Information not available.

Course Committee

Director: Javier Lamar León [jlamarleon@uevora.pt]

Assistants:

Luís Rato [lmr@uevora.pt]
Teresa Gonçalves [tcg@uevora.pt]

teaching staff

Timetables

Information not available.

Documents

Attribute	Type	Value
id	string	'2903'
sigla	string	'LMS('
codigo	string	'1034'
nome	string	'Localização e Mapeamento Simultâneos (SLAM)'
grau	string	'fcontinua'
tipo	string	'bolonha'
estado	string	'valido'
ano_lectivo	string	'2025'
plano	NULL
area_cientifica	NULL
registo_dges	NULL
edicao	boolean	false
created	string	'23/05/2025'
modified	string	'09/01/2026'
regime_frequencia	NULL
escola	string	'31031'
modified_by	string	'mdac'
created_by	string	'jlamarleon'
semestre_inicio	string	'1'
erasmus	NULL
area_formacao	NULL
codigo_siag	string	'951022201'
nome_abbrev	string	'MICRO_LMS('
observacoes_prr	NULL
prr	string	'new_space'
deslocalizado	boolean	false
curso_instrumentos_musica	boolean	false
curso_ensino_provas_pt	boolean	false
impulso	NULL
regime_lecionacao	string	'b_learning'
num_gd	string	'GD/1009/2026'
subtipo_curso_formacao	string	'microcredencial_prr'
link_registo_dges	NULL
nome_abrev	string	'Localização e Mapeamento Simultâneos (SLAM)'
app_moveis	string	'Localização e Mapeamento Simultâneos (SLAM) (cód. 1034)'
nome_cod	string	'Localização e Mapeamento Simultâneos (SLAM) (cód. 1034)'

Attribute	Type	Value
id	string	'263'
curso	string	'2903'
ano_lectivo	string	'2025'
programa_financiamento	string	'new_space'
programa_financiamento_obs	NULL
impulso_prr	NULL
created	string	'26/09/2025'
modified	string	'26/09/2025'
created_by	string	'siiue2'
modified_by	string	'siiue2'
ProgramasFinanciamento	array	Array(6)
>id	string	'new_space'
>nome	string	'New Space'
>created	string	'29/05/2025'
>modified	string	'29/05/2025'
>created_by	NULL
>modified_by	NULL

Information not available.