A Systematic Literature Review on Long-Term Localization and Mapping for Mobile Robots

Autor: Ricardo B. Sousa, Héber M. Sobreira, Antonio Moreira

Long-term operation of autonomous robots creates new challenges to the Simultaneous Localization and Mapping (SLAM). Varying conditions of the vehicle’s surroundings, such as appearance variations (lighting, daytime, weather, or seasonal) or reconf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::07ca03e85b09db058406b515d8e108f8
https://doi.org/10.22541/au.166739295.55264285/v1

Autonomous robot navigation for automotive assembly task: an industry use-case

Autor: A. Paulo Moreira, Luís F. Rocha, Francisco Rodrigues, José L. F. C. Lima, Héber M. Sobreira, Germano Veiga

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783030359898
ROBOT (1)

Automobile industry faces one of the most flexible productivity caused by the number of customized models variants due to the buyers needs. This fact requires the production system to introduce flexible, adaptable and cooperative with humans solution

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f27fb59b02b15ff2dd982e3ba6611acf
http://hdl.handle.net/10198/20979

Map-Matching Algorithms for Robot Self-Localization: A Comparison Between Perfect Match, Iterative Closest Point and Normal Distributions Transform

Autor: P. C. M. A. Farias, Carlos Costa, Ivo Sousa, José Lima, Paulo G. Costa, Héber M. Sobreira, Luís F. Rocha, A. Paulo Moreira

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Journal of Intelligent & Robotic Systems

The self-localization of mobile robots is one of the most fundamental problems in the robotics navigation eld. It is a complex and challenging issue due to the hard requirements that autonomous mobile vehicles are subject to, particularly with regard

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39e771982c94c2afe33ed3b9f301e5b4
http://repositorio.inesctec.pt/handle/123456789/10830

Towards a Reliable Robot for Steep Slope Vineyards Monitoring

Autor: António Paulo Moreira, Filipe Neves dos Santos, Daniel Campos, Raul Morais, Héber M. Sobreira, Olga Contente

Publikováno v: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP

Develop ground robots for crop monitoring and harvesting in steep slope vineyards is a complex challenge. Because of two main reasons: harsh condition of the terrain and unstable localization accuracy got from Global Positioning Systems (GPS). This p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82bf0b18464acd427778e053b1fad726
https://doi.org/10.1007/s10846-016-0340-5

Landmark Detection for Docking Tasks

Autor: António Paulo Moreira, Francisco Ferreira, Héber M. Sobreira, Germano Veiga

Publikováno v: ROBOT 2017: Third Iberian Robotics Conference ISBN: 9783319708324
ROBOT (1)

For docking manoeuvres, the detection of the objects to dock needs to be precise as the minimum deviation from the objective may lead to the failure of this task. The objective of this article is to test possible ways to detect a landmark using a las

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4c0a63e4ce35e13eddbe505e2c990436
https://doi.org/10.1007/978-3-319-70833-1_1