1 resultado para official mapping
em SAPIENTIA - Universidade do Algarve - Portugal
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (8)
- Applied Math and Science Education Repository - Washington - USA (4)
- Aquatic Commons (41)
- Archive of European Integration (80)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (6)
- Avian Conservation and Ecology - Eletronic Cientific Hournal - Écologie et conservation des oiseaux: (1)
- Biblioteca Digital da Câmara dos Deputados (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (4)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (1)
- Boston University Digital Common (3)
- Brock University, Canada (19)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (68)
- CentAUR: Central Archive University of Reading - UK (90)
- Center for Jewish History Digital Collections (4)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (42)
- Cochin University of Science & Technology (CUSAT), India (3)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (2)
- Duke University (10)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (23)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (1)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (19)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (48)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Politécnico do Porto, Portugal (6)
- Massachusetts Institute of Technology (4)
- Ministerio de Cultura, Spain (5)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (12)
- Portal de Revistas Científicas Complutenses - Espanha (4)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (188)
- Queensland University of Technology - ePrints Archive (215)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (1)
- Research Open Access Repository of the University of East London. (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (4)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- School of Medicine, Washington University, United States (9)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- Universidad Autónoma de Nuevo León, Mexico (2)
- Universidad del Rosario, Colombia (8)
- Universidade de Lisboa - Repositório Aberto (1)
- Universidade dos Açores - Portugal (2)
- Universitat de Girona, Spain (8)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (8)
- Université de Montréal, Canada (9)
- University of Michigan (3)
- University of Southampton, United Kingdom (6)
- University of Washington (2)
- WestminsterResearch - UK (5)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
Most simultaneous localisation and mapping (SLAM) solutions were developed for navigation of non-cognitive robots. By using a variety of sensors, the distances to walls and other objects are determined, which are then used to generate a map of the environment and to update the robot’s position. When developing a cognitive robot, such a solution is not appropriate since it requires accurate sensors and precise odometry, also lacking fundamental features of cognition such as time and memory. In this paper we present a SLAM solution in which such features are taken into account and integrated. Moreover, this method does not require precise odometry nor accurate ranging sensors.