1 resultado para Crystal growth-theory and techniques
em Instituto Politécnico do Porto, Portugal
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (4)
- Academic Research Repository at Institute of Developing Economies (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- Applied Math and Science Education Repository - Washington - USA (1)
- Aquatic Commons (46)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (2)
- Archive of European Integration (4)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (6)
- Aston University Research Archive (12)
- Biblioteca Digital da Câmara dos Deputados (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (3)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (10)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (1)
- Boston University Digital Common (3)
- Brock University, Canada (11)
- CaltechTHESIS (11)
- Cambridge University Engineering Department Publications Database (69)
- CentAUR: Central Archive University of Reading - UK (135)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (122)
- Cochin University of Science & Technology (CUSAT), India (14)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (3)
- CORA - Cork Open Research Archive - University College Cork - Ireland (7)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (15)
- Department of Computer Science E-Repository - King's College London, Strand, London (3)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (3)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (2)
- Diposit Digital de la UB - Universidade de Barcelona (3)
- Duke University (4)
- Ecology and Society (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (7)
- FAUBA DIGITAL: Repositorio institucional científico y académico de la Facultad de Agronomia de la Universidad de Buenos Aires (2)
- Greenwich Academic Literature Archive - UK (7)
- Helda - Digital Repository of University of Helsinki (22)
- Indian Institute of Science - Bangalore - Índia (78)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (2)
- Instituto Politécnico do Porto, Portugal (1)
- Massachusetts Institute of Technology (2)
- Ministerio de Cultura, Spain (11)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (10)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (140)
- Queensland University of Technology - ePrints Archive (130)
- Repositório digital da Fundação Getúlio Vargas - FGV (4)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (7)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- School of Medicine, Washington University, United States (1)
- Universidad del Rosario, Colombia (4)
- Universidad Politécnica de Madrid (2)
- Universidade de Lisboa - Repositório Aberto (1)
- Universitat de Girona, Spain (6)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (6)
- Université de Lausanne, Switzerland (2)
- Université de Montréal, Canada (9)
- University of Michigan (5)
- University of Queensland eSpace - Australia (6)
- University of Southampton, United Kingdom (5)
- WestminsterResearch - UK (2)
Resumo:
Dynamical systems theory is used as a theoretical language and tool to design a distributed control architecture for teams of mobile robots, that must transport a large object and simultaneously avoid collisions with (either static or dynamic) obstacles. Here we demonstrate in simulations and implementations in real robots that it is possible to simplify the architectures presented in previous work and to extend the approach to teams of n robots. The robots have no prior knowledge of the environment. The motion of each robot is controlled by a time series of asymptotical stable states. The attractor dynamics permits the integration of information from various sources in a graded manner. As a result, the robots show a strikingly smooth an stable team behaviour.